output

$ python3 train.py
Using TensorFlow backend.
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
embedding_1 (Embedding)      (16, 64, 512)             44032     
_________________________________________________________________
lstm_1 (LSTM)                (16, 64, 256)             787456    
_________________________________________________________________
dropout_1 (Dropout)          (16, 64, 256)             0         
_________________________________________________________________
lstm_2 (LSTM)                (16, 64, 256)             525312    
_________________________________________________________________
dropout_2 (Dropout)          (16, 64, 256)             0         
_________________________________________________________________
lstm_3 (LSTM)                (16, 64, 256)             525312    
_________________________________________________________________
dropout_3 (Dropout)          (16, 64, 256)             0         
_________________________________________________________________
time_distributed_1 (TimeDist (16, 64, 86)              22102     
_________________________________________________________________
activation_1 (Activation)    (16, 64, 86)              0         
=================================================================
Total params: 1,904,214
Trainable params: 1,904,214
Non-trainable params: 0
_________________________________________________________________

Epoch 1/100
2018-08-19 08:12:54.247972: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-08-19 08:12:54.247997: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-08-19 08:12:54.248002: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-08-19 08:12:54.248006: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Batch 1: loss = 4.454390048980713, acc = 0.0107421875
Batch 2: loss = 4.436723232269287, acc = 0.1474609375
Batch 3: loss = 4.400537014007568, acc = 0.1142578125
Batch 4: loss = 4.232309341430664, acc = 0.1455078125
Batch 5: loss = 3.77453351020813, acc = 0.1611328125
Batch 6: loss = 3.9434356689453125, acc = 0.142578125
Batch 7: loss = 3.699286460876465, acc = 0.138671875
Batch 8: loss = 3.5910263061523438, acc = 0.1201171875
Batch 9: loss = 3.6818315982818604, acc = 0.0751953125
Batch 10: loss = 3.6594150066375732, acc = 0.08203125
Batch 11: loss = 3.567378044128418, acc = 0.0703125
Batch 12: loss = 3.629075527191162, acc = 0.046875
Batch 13: loss = 3.628910541534424, acc = 0.05078125
Batch 14: loss = 3.5983996391296387, acc = 0.0390625
Batch 15: loss = 3.5846943855285645, acc = 0.080078125
Batch 16: loss = 3.427335262298584, acc = 0.13671875
Batch 17: loss = 3.375317096710205, acc = 0.1591796875
Batch 18: loss = 3.3146743774414062, acc = 0.1611328125
Batch 19: loss = 3.5875778198242188, acc = 0.1259765625
Batch 20: loss = 3.530864715576172, acc = 0.123046875
Batch 21: loss = 3.5870752334594727, acc = 0.1279296875
Batch 22: loss = 3.6523892879486084, acc = 0.1259765625
Batch 23: loss = 3.296334743499756, acc = 0.181640625
Batch 24: loss = 3.480577230453491, acc = 0.1484375
Batch 25: loss = 3.492737293243408, acc = 0.1416015625
Batch 26: loss = 3.5193252563476562, acc = 0.130859375
Batch 27: loss = 3.24818754196167, acc = 0.1875
Batch 28: loss = 3.338367462158203, acc = 0.1689453125
Batch 29: loss = 3.488800048828125, acc = 0.1552734375
Batch 30: loss = 3.441650867462158, acc = 0.1455078125
Batch 31: loss = 3.304414749145508, acc = 0.166015625
Batch 32: loss = 3.3811538219451904, acc = 0.146484375
Batch 33: loss = 3.3684186935424805, acc = 0.162109375
Batch 34: loss = 3.3241796493530273, acc = 0.150390625
Batch 35: loss = 3.2710442543029785, acc = 0.1630859375
Batch 36: loss = 3.4312543869018555, acc = 0.150390625
Batch 37: loss = 3.375916004180908, acc = 0.12890625
Batch 38: loss = 3.313051462173462, acc = 0.142578125
Batch 39: loss = 3.307137966156006, acc = 0.1572265625
Batch 40: loss = 3.300055742263794, acc = 0.1669921875
Batch 41: loss = 3.3036417961120605, acc = 0.15234375
Batch 42: loss = 3.1704964637756348, acc = 0.169921875
Batch 43: loss = 3.183171272277832, acc = 0.1708984375
Batch 44: loss = 3.322441339492798, acc = 0.16015625
Batch 45: loss = 3.2925169467926025, acc = 0.14453125
Batch 46: loss = 3.20310115814209, acc = 0.162109375
Batch 47: loss = 3.2485883235931396, acc = 0.1640625
Batch 48: loss = 3.166637420654297, acc = 0.17578125
Batch 49: loss = 3.30924916267395, acc = 0.1484375
Batch 50: loss = 3.1999664306640625, acc = 0.1630859375
Batch 51: loss = 3.18353271484375, acc = 0.1591796875
Batch 52: loss = 3.1365394592285156, acc = 0.17578125
Batch 53: loss = 3.2167725563049316, acc = 0.150390625
Batch 54: loss = 3.28530216217041, acc = 0.1533203125
Batch 55: loss = 3.302375078201294, acc = 0.138671875
Batch 56: loss = 3.157515525817871, acc = 0.15234375
Batch 57: loss = 3.154728651046753, acc = 0.1611328125
Batch 58: loss = 3.2235875129699707, acc = 0.1396484375
Batch 59: loss = 3.274887800216675, acc = 0.13671875
Batch 60: loss = 3.1678736209869385, acc = 0.1435546875
Batch 61: loss = 3.1924760341644287, acc = 0.1533203125
Batch 62: loss = 3.1027002334594727, acc = 0.173828125
Batch 63: loss = 3.2482497692108154, acc = 0.1552734375
Batch 64: loss = 3.197383403778076, acc = 0.1533203125
Batch 65: loss = 3.1012067794799805, acc = 0.169921875
Batch 66: loss = 3.1290488243103027, acc = 0.1650390625
Batch 67: loss = 3.1854703426361084, acc = 0.1669921875
Batch 68: loss = 3.212329864501953, acc = 0.146484375
Batch 69: loss = 3.1458470821380615, acc = 0.1650390625
Batch 70: loss = 3.0480518341064453, acc = 0.1806640625
Batch 71: loss = 3.1526405811309814, acc = 0.16796875
Batch 72: loss = 3.155853271484375, acc = 0.1767578125
Batch 73: loss = 3.1185450553894043, acc = 0.1728515625
Batch 74: loss = 3.046165943145752, acc = 0.1806640625
Batch 75: loss = 3.039363145828247, acc = 0.1767578125
Batch 76: loss = 3.100555658340454, acc = 0.1689453125
Batch 77: loss = 3.021588087081909, acc = 0.2001953125
Batch 78: loss = 2.9985837936401367, acc = 0.1748046875
Batch 79: loss = 3.01607084274292, acc = 0.1884765625
Batch 80: loss = 2.9068760871887207, acc = 0.1943359375
Batch 81: loss = 3.0610411167144775, acc = 0.1904296875
Batch 82: loss = 3.1154165267944336, acc = 0.1787109375
Batch 83: loss = 3.021592855453491, acc = 0.181640625
Batch 84: loss = 2.965991973876953, acc = 0.19140625
Batch 85: loss = 2.885828733444214, acc = 0.2119140625
Batch 86: loss = 3.026918411254883, acc = 0.185546875
Batch 87: loss = 3.178969383239746, acc = 0.1640625
Batch 88: loss = 3.011878490447998, acc = 0.1943359375
Batch 89: loss = 3.0468716621398926, acc = 0.181640625
Batch 90: loss = 3.1029763221740723, acc = 0.193359375
Batch 91: loss = 2.964935064315796, acc = 0.20703125
Batch 92: loss = 2.9623889923095703, acc = 0.1806640625
Batch 93: loss = 3.003779172897339, acc = 0.1884765625
Batch 94: loss = 2.909271717071533, acc = 0.2021484375
Batch 95: loss = 2.873121738433838, acc = 0.21484375
Batch 96: loss = 2.8793997764587402, acc = 0.2021484375
Batch 97: loss = 2.9861719608306885, acc = 0.1748046875
Batch 98: loss = 2.9765210151672363, acc = 0.197265625
Batch 99: loss = 2.851529121398926, acc = 0.20703125
Batch 100: loss = 2.8618903160095215, acc = 0.21484375
Batch 101: loss = 2.976154327392578, acc = 0.203125
Batch 102: loss = 3.0254125595092773, acc = 0.18359375
Batch 103: loss = 2.8968610763549805, acc = 0.1875
Batch 104: loss = 2.8555829524993896, acc = 0.224609375
Batch 105: loss = 2.780703544616699, acc = 0.224609375
Batch 106: loss = 2.843506097793579, acc = 0.19140625
Batch 107: loss = 2.834918260574341, acc = 0.2275390625
Batch 108: loss = 2.767465353012085, acc = 0.244140625
Batch 109: loss = 2.7225265502929688, acc = 0.240234375
Batch 110: loss = 2.8358778953552246, acc = 0.2421875
Batch 111: loss = 2.8429794311523438, acc = 0.236328125
Batch 112: loss = 2.8061280250549316, acc = 0.224609375
Batch 113: loss = 2.7999496459960938, acc = 0.2138671875
Batch 114: loss = 2.8613545894622803, acc = 0.216796875
Batch 115: loss = 2.827665328979492, acc = 0.2265625
Batch 116: loss = 2.8445191383361816, acc = 0.2099609375
Batch 117: loss = 2.9224236011505127, acc = 0.2041015625
Batch 118: loss = 2.779392957687378, acc = 0.2353515625
Batch 119: loss = 2.7342352867126465, acc = 0.244140625
Batch 120: loss = 2.8388679027557373, acc = 0.2353515625
Batch 121: loss = 2.731635093688965, acc = 0.2412109375
Batch 122: loss = 2.833055257797241, acc = 0.21484375
Batch 123: loss = 2.78127384185791, acc = 0.2431640625
Batch 124: loss = 2.6567978858947754, acc = 0.2607421875
Batch 125: loss = 2.654332160949707, acc = 0.2861328125
Batch 126: loss = 2.783754348754883, acc = 0.2626953125

Epoch 2/100
Batch 1: loss = 3.035529613494873, acc = 0.2431640625
Batch 2: loss = 2.6527926921844482, acc = 0.2978515625
Batch 3: loss = 2.7760815620422363, acc = 0.2470703125
Batch 4: loss = 2.6269185543060303, acc = 0.2724609375
Batch 5: loss = 2.665935516357422, acc = 0.2783203125
Batch 6: loss = 2.7697596549987793, acc = 0.26953125
Batch 7: loss = 2.763477325439453, acc = 0.2578125
Batch 8: loss = 2.621147632598877, acc = 0.2626953125
Batch 9: loss = 2.6288437843322754, acc = 0.2685546875
Batch 10: loss = 2.527158260345459, acc = 0.3017578125
Batch 11: loss = 2.531536102294922, acc = 0.31640625
Batch 12: loss = 2.636348247528076, acc = 0.291015625
Batch 13: loss = 2.617934465408325, acc = 0.2783203125
Batch 14: loss = 2.5300230979919434, acc = 0.283203125
Batch 15: loss = 2.5671424865722656, acc = 0.27734375
Batch 16: loss = 2.500370502471924, acc = 0.30859375
Batch 17: loss = 2.4950320720672607, acc = 0.318359375
Batch 18: loss = 2.5213537216186523, acc = 0.30859375
Batch 19: loss = 2.578141212463379, acc = 0.296875
Batch 20: loss = 2.520859718322754, acc = 0.30859375
Batch 21: loss = 2.582458257675171, acc = 0.2861328125
Batch 22: loss = 2.4905521869659424, acc = 0.2998046875
Batch 23: loss = 2.342447280883789, acc = 0.341796875
Batch 24: loss = 2.4944207668304443, acc = 0.3076171875
Batch 25: loss = 2.4126648902893066, acc = 0.298828125
Batch 26: loss = 2.3795008659362793, acc = 0.33203125
Batch 27: loss = 2.3047196865081787, acc = 0.33203125
Batch 28: loss = 2.316915988922119, acc = 0.34765625
Batch 29: loss = 2.3974978923797607, acc = 0.31640625
Batch 30: loss = 2.392056703567505, acc = 0.3525390625
Batch 31: loss = 2.422626495361328, acc = 0.3349609375
Batch 32: loss = 2.5189547538757324, acc = 0.3095703125
Batch 33: loss = 2.374316453933716, acc = 0.345703125
Batch 34: loss = 2.3381474018096924, acc = 0.33203125
Batch 35: loss = 2.2939767837524414, acc = 0.3525390625
Batch 36: loss = 2.5395774841308594, acc = 0.2900390625
Batch 37: loss = 2.4815773963928223, acc = 0.3134765625
Batch 38: loss = 2.411848545074463, acc = 0.318359375
Batch 39: loss = 2.3354196548461914, acc = 0.3515625
Batch 40: loss = 2.250337839126587, acc = 0.3447265625
Batch 41: loss = 2.2737691402435303, acc = 0.35546875
Batch 42: loss = 2.1154227256774902, acc = 0.40625
Batch 43: loss = 2.1257755756378174, acc = 0.3759765625
Batch 44: loss = 2.3019466400146484, acc = 0.3359375
Batch 45: loss = 2.249648094177246, acc = 0.34765625
Batch 46: loss = 2.2227301597595215, acc = 0.3466796875
Batch 47: loss = 2.2312331199645996, acc = 0.3662109375
Batch 48: loss = 2.119194507598877, acc = 0.36328125
Batch 49: loss = 2.256570816040039, acc = 0.3466796875
Batch 50: loss = 2.183021306991577, acc = 0.353515625
Batch 51: loss = 2.1845574378967285, acc = 0.365234375
Batch 52: loss = 2.167276620864868, acc = 0.3828125
Batch 53: loss = 2.294023275375366, acc = 0.34375
Batch 54: loss = 2.3321142196655273, acc = 0.326171875
Batch 55: loss = 2.3665857315063477, acc = 0.3154296875
Batch 56: loss = 2.110642433166504, acc = 0.3798828125
Batch 57: loss = 2.109957218170166, acc = 0.396484375
Batch 58: loss = 2.237764596939087, acc = 0.345703125
Batch 59: loss = 2.2222180366516113, acc = 0.3408203125
Batch 60: loss = 2.1438279151916504, acc = 0.384765625
Batch 61: loss = 2.3372130393981934, acc = 0.3408203125
Batch 62: loss = 2.158538341522217, acc = 0.3759765625
Batch 63: loss = 2.365854263305664, acc = 0.3486328125
Batch 64: loss = 2.1124496459960938, acc = 0.38671875
Batch 65: loss = 2.065979480743408, acc = 0.4150390625
Batch 66: loss = 2.1161444187164307, acc = 0.3984375
Batch 67: loss = 2.227736473083496, acc = 0.3466796875
Batch 68: loss = 2.1691412925720215, acc = 0.37890625
Batch 69: loss = 2.0490870475769043, acc = 0.3994140625
Batch 70: loss = 2.1242687702178955, acc = 0.408203125
Batch 71: loss = 2.1080615520477295, acc = 0.4072265625
Batch 72: loss = 2.1949775218963623, acc = 0.3720703125
Batch 73: loss = 2.0792794227600098, acc = 0.396484375
Batch 74: loss = 1.9880890846252441, acc = 0.4140625
Batch 75: loss = 2.0539050102233887, acc = 0.390625
Batch 76: loss = 2.124222755432129, acc = 0.3916015625
Batch 77: loss = 2.0070576667785645, acc = 0.408203125
Batch 78: loss = 1.960235595703125, acc = 0.4404296875
Batch 79: loss = 1.9150278568267822, acc = 0.455078125
Batch 80: loss = 1.756925344467163, acc = 0.453125
Batch 81: loss = 2.0517184734344482, acc = 0.3955078125
Batch 82: loss = 2.0730862617492676, acc = 0.408203125
Batch 83: loss = 1.974690318107605, acc = 0.4169921875
Batch 84: loss = 1.927781581878662, acc = 0.4453125
Batch 85: loss = 1.8079042434692383, acc = 0.466796875
Batch 86: loss = 2.140885353088379, acc = 0.380859375
Batch 87: loss = 2.1705870628356934, acc = 0.39453125
Batch 88: loss = 2.121853828430176, acc = 0.4072265625
Batch 89: loss = 2.1970019340515137, acc = 0.3759765625
Batch 90: loss = 2.215484619140625, acc = 0.40234375
Batch 91: loss = 1.9512856006622314, acc = 0.421875
Batch 92: loss = 1.9551972150802612, acc = 0.4228515625
Batch 93: loss = 1.9607418775558472, acc = 0.4375
Batch 94: loss = 1.90357506275177, acc = 0.4404296875
Batch 95: loss = 1.8979930877685547, acc = 0.4208984375
Batch 96: loss = 1.9100072383880615, acc = 0.4345703125
Batch 97: loss = 2.0863187313079834, acc = 0.384765625
Batch 98: loss = 2.0357284545898438, acc = 0.416015625
Batch 99: loss = 1.8478232622146606, acc = 0.4541015625
Batch 100: loss = 1.810758113861084, acc = 0.447265625
Batch 101: loss = 2.0712060928344727, acc = 0.3984375
Batch 102: loss = 2.1583402156829834, acc = 0.3759765625
Batch 103: loss = 2.066755771636963, acc = 0.38671875
Batch 104: loss = 1.9659109115600586, acc = 0.400390625
Batch 105: loss = 1.9372284412384033, acc = 0.419921875
Batch 106: loss = 2.029855251312256, acc = 0.3984375
Batch 107: loss = 2.021092414855957, acc = 0.3955078125
Batch 108: loss = 1.920992374420166, acc = 0.427734375
Batch 109: loss = 1.8782713413238525, acc = 0.41796875
Batch 110: loss = 2.0092878341674805, acc = 0.41015625
Batch 111: loss = 2.115964889526367, acc = 0.400390625
Batch 112: loss = 2.0574092864990234, acc = 0.4130859375
Batch 113: loss = 1.9267797470092773, acc = 0.42578125
Batch 114: loss = 2.1179637908935547, acc = 0.3994140625
Batch 115: loss = 2.0716452598571777, acc = 0.4189453125
Batch 116: loss = 2.0397539138793945, acc = 0.4287109375
Batch 117: loss = 2.1219239234924316, acc = 0.3857421875
Batch 118: loss = 1.9701530933380127, acc = 0.427734375
Batch 119: loss = 1.9485059976577759, acc = 0.427734375
Batch 120: loss = 2.0442464351654053, acc = 0.4111328125
Batch 121: loss = 1.8664747476577759, acc = 0.447265625
Batch 122: loss = 2.068753242492676, acc = 0.3974609375
Batch 123: loss = 2.0040931701660156, acc = 0.41796875
Batch 124: loss = 1.933282494544983, acc = 0.421875
Batch 125: loss = 1.8580965995788574, acc = 0.4462890625
Batch 126: loss = 2.051638126373291, acc = 0.421875

Epoch 3/100
Batch 1: loss = 2.4864349365234375, acc = 0.3603515625
Batch 2: loss = 1.9282764196395874, acc = 0.4306640625
Batch 3: loss = 2.091183662414551, acc = 0.3955078125
Batch 4: loss = 1.8788573741912842, acc = 0.423828125
Batch 5: loss = 2.022368907928467, acc = 0.4248046875
Batch 6: loss = 2.1061437129974365, acc = 0.404296875
Batch 7: loss = 2.1353201866149902, acc = 0.3974609375
Batch 8: loss = 1.933554768562317, acc = 0.4287109375
Batch 9: loss = 1.986527442932129, acc = 0.42578125
Batch 10: loss = 1.8151978254318237, acc = 0.4658203125
Batch 11: loss = 1.90380859375, acc = 0.455078125
Batch 12: loss = 2.0145621299743652, acc = 0.4287109375
Batch 13: loss = 2.004103660583496, acc = 0.4169921875
Batch 14: loss = 1.8606159687042236, acc = 0.447265625
Batch 15: loss = 1.9784767627716064, acc = 0.4453125
Batch 16: loss = 2.0042788982391357, acc = 0.4248046875
Batch 17: loss = 1.9727903604507446, acc = 0.44140625
Batch 18: loss = 2.0280754566192627, acc = 0.4189453125
Batch 19: loss = 2.1030397415161133, acc = 0.4013671875
Batch 20: loss = 1.9459044933319092, acc = 0.4384765625
Batch 21: loss = 2.063318967819214, acc = 0.4130859375
Batch 22: loss = 1.9464104175567627, acc = 0.4267578125
Batch 23: loss = 1.8698973655700684, acc = 0.4453125
Batch 24: loss = 1.971191167831421, acc = 0.4287109375
Batch 25: loss = 1.8527791500091553, acc = 0.4443359375
Batch 26: loss = 1.8619911670684814, acc = 0.4560546875
Batch 27: loss = 1.7822284698486328, acc = 0.4765625
Batch 28: loss = 1.7763640880584717, acc = 0.4794921875
Batch 29: loss = 1.8359816074371338, acc = 0.4677734375
Batch 30: loss = 1.854383111000061, acc = 0.482421875
Batch 31: loss = 1.9640448093414307, acc = 0.4375
Batch 32: loss = 2.114806652069092, acc = 0.4140625
Batch 33: loss = 1.9769943952560425, acc = 0.4287109375
Batch 34: loss = 1.8760802745819092, acc = 0.4423828125
Batch 35: loss = 1.876638650894165, acc = 0.4521484375
Batch 36: loss = 2.077208995819092, acc = 0.4345703125
Batch 37: loss = 2.033595561981201, acc = 0.44140625
Batch 38: loss = 1.9413524866104126, acc = 0.4345703125
Batch 39: loss = 1.88388991355896, acc = 0.4638671875
Batch 40: loss = 1.832550287246704, acc = 0.4658203125
Batch 41: loss = 1.791978120803833, acc = 0.4873046875
Batch 42: loss = 1.7053086757659912, acc = 0.5029296875
Batch 43: loss = 1.7689096927642822, acc = 0.455078125
Batch 44: loss = 1.8696764707565308, acc = 0.4501953125
Batch 45: loss = 1.740330457687378, acc = 0.4853515625
Batch 46: loss = 1.8198007345199585, acc = 0.458984375
Batch 47: loss = 1.848508358001709, acc = 0.4501953125
Batch 48: loss = 1.718815803527832, acc = 0.4580078125
Batch 49: loss = 1.805159091949463, acc = 0.4912109375
Batch 50: loss = 1.730323314666748, acc = 0.5029296875
Batch 51: loss = 1.8272652626037598, acc = 0.4560546875
Batch 52: loss = 1.8240962028503418, acc = 0.47265625
Batch 53: loss = 1.8711615800857544, acc = 0.45703125
Batch 54: loss = 1.8804420232772827, acc = 0.4482421875
Batch 55: loss = 1.9133563041687012, acc = 0.4658203125
Batch 56: loss = 1.7307029962539673, acc = 0.4794921875
Batch 57: loss = 1.8204765319824219, acc = 0.455078125
Batch 58: loss = 1.848186731338501, acc = 0.4638671875
Batch 59: loss = 1.7199842929840088, acc = 0.513671875
Batch 60: loss = 1.7720987796783447, acc = 0.4755859375
Batch 61: loss = 1.9982962608337402, acc = 0.4287109375
Batch 62: loss = 1.9219627380371094, acc = 0.4140625
Batch 63: loss = 2.028214931488037, acc = 0.4189453125
Batch 64: loss = 1.653975486755371, acc = 0.51171875
Batch 65: loss = 1.7428345680236816, acc = 0.4931640625
Batch 66: loss = 1.7532994747161865, acc = 0.4931640625
Batch 67: loss = 1.8159581422805786, acc = 0.494140625
Batch 68: loss = 1.7796800136566162, acc = 0.4892578125
Batch 69: loss = 1.6641294956207275, acc = 0.5048828125
Batch 70: loss = 1.8424961566925049, acc = 0.47265625
Batch 71: loss = 1.7592437267303467, acc = 0.4833984375
Batch 72: loss = 1.7430033683776855, acc = 0.4873046875
Batch 73: loss = 1.7646540403366089, acc = 0.4658203125
Batch 74: loss = 1.7052150964736938, acc = 0.490234375
Batch 75: loss = 1.762937068939209, acc = 0.462890625
Batch 76: loss = 1.8073244094848633, acc = 0.4716796875
Batch 77: loss = 1.652730941772461, acc = 0.517578125
Batch 78: loss = 1.6041244268417358, acc = 0.5244140625
Batch 79: loss = 1.5498614311218262, acc = 0.53125
Batch 80: loss = 1.5305733680725098, acc = 0.5166015625
Batch 81: loss = 1.6710143089294434, acc = 0.5166015625
Batch 82: loss = 1.6873021125793457, acc = 0.51953125
Batch 83: loss = 1.6571204662322998, acc = 0.51953125
Batch 84: loss = 1.640306830406189, acc = 0.5244140625
Batch 85: loss = 1.6278698444366455, acc = 0.5087890625
Batch 86: loss = 1.772813320159912, acc = 0.482421875
Batch 87: loss = 1.7501507997512817, acc = 0.5048828125
Batch 88: loss = 1.885927677154541, acc = 0.4638671875
Batch 89: loss = 1.9273443222045898, acc = 0.44140625
Batch 90: loss = 1.945972204208374, acc = 0.4658203125
Batch 91: loss = 1.78849458694458, acc = 0.4775390625
Batch 92: loss = 1.6684720516204834, acc = 0.5
Batch 93: loss = 1.634171485900879, acc = 0.52734375
Batch 94: loss = 1.6244654655456543, acc = 0.5205078125
Batch 95: loss = 1.6611826419830322, acc = 0.4775390625
Batch 96: loss = 1.6761934757232666, acc = 0.484375
Batch 97: loss = 1.7611808776855469, acc = 0.47265625
Batch 98: loss = 1.711345911026001, acc = 0.50390625
Batch 99: loss = 1.6761798858642578, acc = 0.482421875
Batch 100: loss = 1.6257208585739136, acc = 0.4892578125
Batch 101: loss = 1.8532689809799194, acc = 0.4501953125
Batch 102: loss = 1.885880708694458, acc = 0.4560546875
Batch 103: loss = 1.797227144241333, acc = 0.482421875
Batch 104: loss = 1.6885825395584106, acc = 0.4921875
Batch 105: loss = 1.7128068208694458, acc = 0.48046875
Batch 106: loss = 1.7995485067367554, acc = 0.458984375
Batch 107: loss = 1.7133047580718994, acc = 0.482421875
Batch 108: loss = 1.7320176362991333, acc = 0.4755859375
Batch 109: loss = 1.6281497478485107, acc = 0.4833984375
Batch 110: loss = 1.694640874862671, acc = 0.4912109375
Batch 111: loss = 1.8366730213165283, acc = 0.451171875
Batch 112: loss = 1.7433979511260986, acc = 0.4765625
Batch 113: loss = 1.6867589950561523, acc = 0.4931640625
Batch 114: loss = 1.7841787338256836, acc = 0.4931640625
Batch 115: loss = 1.8074054718017578, acc = 0.4755859375
Batch 116: loss = 1.7643818855285645, acc = 0.470703125
Batch 117: loss = 1.7403641939163208, acc = 0.5078125
Batch 118: loss = 1.6794716119766235, acc = 0.498046875
Batch 119: loss = 1.740513563156128, acc = 0.46875
Batch 120: loss = 1.802060604095459, acc = 0.4541015625
Batch 121: loss = 1.6495702266693115, acc = 0.5
Batch 122: loss = 1.744360089302063, acc = 0.478515625
Batch 123: loss = 1.6899521350860596, acc = 0.50390625
Batch 124: loss = 1.7009353637695312, acc = 0.4765625
Batch 125: loss = 1.6735506057739258, acc = 0.494140625
Batch 126: loss = 1.8247368335723877, acc = 0.4794921875

Epoch 4/100
Batch 1: loss = 2.3326706886291504, acc = 0.4033203125
Batch 2: loss = 1.7301852703094482, acc = 0.4912109375
Batch 3: loss = 1.825676441192627, acc = 0.4765625
Batch 4: loss = 1.6541852951049805, acc = 0.5087890625
Batch 5: loss = 1.8442442417144775, acc = 0.453125
Batch 6: loss = 1.9040006399154663, acc = 0.458984375
Batch 7: loss = 1.8799805641174316, acc = 0.45703125
Batch 8: loss = 1.6720149517059326, acc = 0.5244140625
Batch 9: loss = 1.7459604740142822, acc = 0.47265625
Batch 10: loss = 1.5765156745910645, acc = 0.5390625
Batch 11: loss = 1.717172384262085, acc = 0.501953125
Batch 12: loss = 1.8837580680847168, acc = 0.4736328125
Batch 13: loss = 1.7482061386108398, acc = 0.4814453125
Batch 14: loss = 1.640287160873413, acc = 0.498046875
Batch 15: loss = 1.724438190460205, acc = 0.5
Batch 16: loss = 1.8189897537231445, acc = 0.4599609375
Batch 17: loss = 1.7548038959503174, acc = 0.4990234375
Batch 18: loss = 1.833411693572998, acc = 0.458984375
Batch 19: loss = 1.8519517183303833, acc = 0.458984375
Batch 20: loss = 1.6871449947357178, acc = 0.4970703125
Batch 21: loss = 1.8476972579956055, acc = 0.47265625
Batch 22: loss = 1.6739451885223389, acc = 0.49609375
Batch 23: loss = 1.7249739170074463, acc = 0.48046875
Batch 24: loss = 1.7761478424072266, acc = 0.4873046875
Batch 25: loss = 1.6415756940841675, acc = 0.5126953125
Batch 26: loss = 1.6599531173706055, acc = 0.513671875
Batch 27: loss = 1.6538031101226807, acc = 0.5234375
Batch 28: loss = 1.6181528568267822, acc = 0.5068359375
Batch 29: loss = 1.623913049697876, acc = 0.5224609375
Batch 30: loss = 1.6548986434936523, acc = 0.5166015625
Batch 31: loss = 1.7561100721359253, acc = 0.4921875
Batch 32: loss = 1.9369598627090454, acc = 0.4462890625
Batch 33: loss = 1.7883495092391968, acc = 0.4794921875
Batch 34: loss = 1.697330355644226, acc = 0.5029296875
Batch 35: loss = 1.7095690965652466, acc = 0.4873046875
Batch 36: loss = 1.8356661796569824, acc = 0.4814453125
Batch 37: loss = 1.7920982837677002, acc = 0.4990234375
Batch 38: loss = 1.7686851024627686, acc = 0.486328125
Batch 39: loss = 1.6966102123260498, acc = 0.4921875
Batch 40: loss = 1.6898393630981445, acc = 0.5078125
Batch 41: loss = 1.594961166381836, acc = 0.54296875
Batch 42: loss = 1.5764082670211792, acc = 0.5205078125
Batch 43: loss = 1.624817132949829, acc = 0.5009765625
Batch 44: loss = 1.6670315265655518, acc = 0.5146484375
Batch 45: loss = 1.5257494449615479, acc = 0.5576171875
Batch 46: loss = 1.634783148765564, acc = 0.5234375
Batch 47: loss = 1.6517177820205688, acc = 0.509765625
Batch 48: loss = 1.5467947721481323, acc = 0.513671875
Batch 49: loss = 1.5618327856063843, acc = 0.546875
Batch 50: loss = 1.5382195711135864, acc = 0.5654296875
Batch 51: loss = 1.6378127336502075, acc = 0.4931640625
Batch 52: loss = 1.7098462581634521, acc = 0.4775390625
Batch 53: loss = 1.7108516693115234, acc = 0.494140625
Batch 54: loss = 1.6368390321731567, acc = 0.537109375
Batch 55: loss = 1.6642111539840698, acc = 0.5146484375
Batch 56: loss = 1.577380657196045, acc = 0.521484375
Batch 57: loss = 1.6884639263153076, acc = 0.48828125
Batch 58: loss = 1.6496984958648682, acc = 0.5166015625
Batch 59: loss = 1.4773694276809692, acc = 0.572265625
Batch 60: loss = 1.597594976425171, acc = 0.5126953125
Batch 61: loss = 1.7655613422393799, acc = 0.515625
Batch 62: loss = 1.785996675491333, acc = 0.4384765625
Batch 63: loss = 1.8253412246704102, acc = 0.478515625
Batch 64: loss = 1.4267942905426025, acc = 0.5869140625
Batch 65: loss = 1.5791902542114258, acc = 0.5283203125
Batch 66: loss = 1.5997371673583984, acc = 0.5166015625
Batch 67: loss = 1.6144721508026123, acc = 0.5341796875
Batch 68: loss = 1.6002252101898193, acc = 0.544921875
Batch 69: loss = 1.5456883907318115, acc = 0.53125
Batch 70: loss = 1.702614665031433, acc = 0.498046875
Batch 71: loss = 1.561411738395691, acc = 0.53515625
Batch 72: loss = 1.5596723556518555, acc = 0.5390625
Batch 73: loss = 1.6199760437011719, acc = 0.509765625
Batch 74: loss = 1.5635534524917603, acc = 0.5126953125
Batch 75: loss = 1.629435658454895, acc = 0.498046875
Batch 76: loss = 1.6597676277160645, acc = 0.5048828125
Batch 77: loss = 1.4792728424072266, acc = 0.5654296875
Batch 78: loss = 1.45106840133667, acc = 0.5810546875
Batch 79: loss = 1.3860504627227783, acc = 0.5947265625
Batch 80: loss = 1.4341239929199219, acc = 0.5400390625
Batch 81: loss = 1.4763643741607666, acc = 0.564453125
Batch 82: loss = 1.4637075662612915, acc = 0.56640625
Batch 83: loss = 1.496018409729004, acc = 0.5517578125
Batch 84: loss = 1.5113822221755981, acc = 0.55078125
Batch 85: loss = 1.5445177555084229, acc = 0.5263671875
Batch 86: loss = 1.5820902585983276, acc = 0.5341796875
Batch 87: loss = 1.5392571687698364, acc = 0.5673828125
Batch 88: loss = 1.7532110214233398, acc = 0.4921875
Batch 89: loss = 1.7019399404525757, acc = 0.529296875
Batch 90: loss = 1.7841835021972656, acc = 0.48828125
Batch 91: loss = 1.6731864213943481, acc = 0.4970703125
Batch 92: loss = 1.4668543338775635, acc = 0.5498046875
Batch 93: loss = 1.4508464336395264, acc = 0.5751953125
Batch 94: loss = 1.478480577468872, acc = 0.560546875
Batch 95: loss = 1.5397164821624756, acc = 0.51953125
Batch 96: loss = 1.5484099388122559, acc = 0.5244140625
Batch 97: loss = 1.5663520097732544, acc = 0.541015625
Batch 98: loss = 1.564638614654541, acc = 0.5576171875
Batch 99: loss = 1.5364701747894287, acc = 0.52734375
Batch 100: loss = 1.4798271656036377, acc = 0.5419921875
Batch 101: loss = 1.6201667785644531, acc = 0.5302734375
Batch 102: loss = 1.720630168914795, acc = 0.4873046875
Batch 103: loss = 1.6205954551696777, acc = 0.513671875
Batch 104: loss = 1.5365924835205078, acc = 0.541015625
Batch 105: loss = 1.5693418979644775, acc = 0.5283203125
Batch 106: loss = 1.6408435106277466, acc = 0.529296875
Batch 107: loss = 1.546811819076538, acc = 0.53515625
Batch 108: loss = 1.5401549339294434, acc = 0.537109375
Batch 109: loss = 1.4911412000656128, acc = 0.533203125
Batch 110: loss = 1.4836015701293945, acc = 0.5595703125
Batch 111: loss = 1.6837384700775146, acc = 0.5
Batch 112: loss = 1.5329179763793945, acc = 0.5400390625
Batch 113: loss = 1.5347336530685425, acc = 0.53125
Batch 114: loss = 1.5913487672805786, acc = 0.5322265625
Batch 115: loss = 1.6589550971984863, acc = 0.5087890625
Batch 116: loss = 1.6319217681884766, acc = 0.5087890625
Batch 117: loss = 1.5192360877990723, acc = 0.560546875
Batch 118: loss = 1.5040736198425293, acc = 0.5419921875
Batch 119: loss = 1.6001052856445312, acc = 0.5185546875
Batch 120: loss = 1.6636027097702026, acc = 0.494140625
Batch 121: loss = 1.4687498807907104, acc = 0.5517578125
Batch 122: loss = 1.5237858295440674, acc = 0.541015625
Batch 123: loss = 1.5205799341201782, acc = 0.54296875
Batch 124: loss = 1.5533900260925293, acc = 0.513671875
Batch 125: loss = 1.5289340019226074, acc = 0.544921875
Batch 126: loss = 1.6443617343902588, acc = 0.515625

Epoch 5/100
Batch 1: loss = 2.1608481407165527, acc = 0.443359375
Batch 2: loss = 1.608494520187378, acc = 0.5126953125
Batch 3: loss = 1.6548470258712769, acc = 0.5087890625
Batch 4: loss = 1.5161596536636353, acc = 0.5341796875
Batch 5: loss = 1.7304306030273438, acc = 0.4951171875
Batch 6: loss = 1.7603676319122314, acc = 0.494140625
Batch 7: loss = 1.7303000688552856, acc = 0.4951171875
Batch 8: loss = 1.5352120399475098, acc = 0.5419921875
Batch 9: loss = 1.555720329284668, acc = 0.533203125
Batch 10: loss = 1.4347087144851685, acc = 0.58203125
Batch 11: loss = 1.5990538597106934, acc = 0.5380859375
Batch 12: loss = 1.7472333908081055, acc = 0.4853515625
Batch 13: loss = 1.6049778461456299, acc = 0.5234375
Batch 14: loss = 1.473071813583374, acc = 0.5400390625
Batch 15: loss = 1.5443103313446045, acc = 0.5498046875
Batch 16: loss = 1.639938473701477, acc = 0.5029296875
Batch 17: loss = 1.580937147140503, acc = 0.5419921875
Batch 18: loss = 1.6789898872375488, acc = 0.4921875
Batch 19: loss = 1.6796643733978271, acc = 0.505859375
Batch 20: loss = 1.4636597633361816, acc = 0.55078125
Batch 21: loss = 1.7084059715270996, acc = 0.4921875
Batch 22: loss = 1.5111571550369263, acc = 0.529296875
Batch 23: loss = 1.5585238933563232, acc = 0.5224609375
Batch 24: loss = 1.6123549938201904, acc = 0.525390625
Batch 25: loss = 1.4853136539459229, acc = 0.560546875
Batch 26: loss = 1.4858002662658691, acc = 0.5556640625
Batch 27: loss = 1.5188626050949097, acc = 0.5322265625
Batch 28: loss = 1.5111885070800781, acc = 0.5380859375
Batch 29: loss = 1.4778956174850464, acc = 0.5625
Batch 30: loss = 1.5123670101165771, acc = 0.55859375
Batch 31: loss = 1.586119532585144, acc = 0.5234375
Batch 32: loss = 1.7834978103637695, acc = 0.46484375
Batch 33: loss = 1.6079800128936768, acc = 0.5224609375
Batch 34: loss = 1.5680428743362427, acc = 0.5146484375
Batch 35: loss = 1.5563230514526367, acc = 0.533203125
Batch 36: loss = 1.6695468425750732, acc = 0.515625
Batch 37: loss = 1.6168240308761597, acc = 0.5400390625
Batch 38: loss = 1.6072347164154053, acc = 0.5185546875
Batch 39: loss = 1.5597343444824219, acc = 0.533203125
Batch 40: loss = 1.5342670679092407, acc = 0.5205078125
Batch 41: loss = 1.4210684299468994, acc = 0.5703125
Batch 42: loss = 1.4284924268722534, acc = 0.5380859375
Batch 43: loss = 1.5060468912124634, acc = 0.5185546875
Batch 44: loss = 1.515425443649292, acc = 0.548828125
Batch 45: loss = 1.3692721128463745, acc = 0.5908203125
Batch 46: loss = 1.4850261211395264, acc = 0.537109375
Batch 47: loss = 1.4696733951568604, acc = 0.552734375
Batch 48: loss = 1.405904769897461, acc = 0.5576171875
Batch 49: loss = 1.3978850841522217, acc = 0.5791015625
Batch 50: loss = 1.3992995023727417, acc = 0.5703125
Batch 51: loss = 1.4656224250793457, acc = 0.5380859375
Batch 52: loss = 1.580080509185791, acc = 0.5166015625
Batch 53: loss = 1.5560492277145386, acc = 0.51171875
Batch 54: loss = 1.4628970623016357, acc = 0.568359375
Batch 55: loss = 1.49594247341156, acc = 0.5546875
Batch 56: loss = 1.437619924545288, acc = 0.548828125
Batch 57: loss = 1.5457146167755127, acc = 0.494140625
Batch 58: loss = 1.5131821632385254, acc = 0.5361328125
Batch 59: loss = 1.29469633102417, acc = 0.6025390625
Batch 60: loss = 1.4472311735153198, acc = 0.5498046875
Batch 61: loss = 1.5681004524230957, acc = 0.529296875
Batch 62: loss = 1.6522669792175293, acc = 0.4794921875
Batch 63: loss = 1.639312744140625, acc = 0.5029296875
Batch 64: loss = 1.2426300048828125, acc = 0.6279296875
Batch 65: loss = 1.4528210163116455, acc = 0.5576171875
Batch 66: loss = 1.444413423538208, acc = 0.54296875
Batch 67: loss = 1.431443691253662, acc = 0.58203125
Batch 68: loss = 1.4601266384124756, acc = 0.5615234375
Batch 69: loss = 1.3851629495620728, acc = 0.5703125
Batch 70: loss = 1.5688163042068481, acc = 0.5087890625
Batch 71: loss = 1.4020183086395264, acc = 0.5654296875
Batch 72: loss = 1.3784745931625366, acc = 0.5849609375
Batch 73: loss = 1.503767728805542, acc = 0.533203125
Batch 74: loss = 1.4347527027130127, acc = 0.54296875
Batch 75: loss = 1.5082447528839111, acc = 0.517578125
Batch 76: loss = 1.5231221914291382, acc = 0.5263671875
Batch 77: loss = 1.326963186264038, acc = 0.59375
Batch 78: loss = 1.3381198644638062, acc = 0.580078125
Batch 79: loss = 1.2440199851989746, acc = 0.6240234375
Batch 80: loss = 1.3342610597610474, acc = 0.5634765625
Batch 81: loss = 1.3417084217071533, acc = 0.5830078125
Batch 82: loss = 1.295815110206604, acc = 0.6083984375
Batch 83: loss = 1.372413992881775, acc = 0.572265625
Batch 84: loss = 1.352799892425537, acc = 0.5849609375
Batch 85: loss = 1.451314926147461, acc = 0.5498046875
Batch 86: loss = 1.4389500617980957, acc = 0.568359375
Batch 87: loss = 1.3966171741485596, acc = 0.5986328125
Batch 88: loss = 1.599222183227539, acc = 0.5185546875
Batch 89: loss = 1.5080074071884155, acc = 0.5537109375
Batch 90: loss = 1.614975929260254, acc = 0.5146484375
Batch 91: loss = 1.5151299238204956, acc = 0.5224609375
Batch 92: loss = 1.3099496364593506, acc = 0.58984375
Batch 93: loss = 1.3074612617492676, acc = 0.599609375
Batch 94: loss = 1.3375568389892578, acc = 0.5947265625
Batch 95: loss = 1.408564805984497, acc = 0.5322265625
Batch 96: loss = 1.4151920080184937, acc = 0.5537109375
Batch 97: loss = 1.419140338897705, acc = 0.572265625
Batch 98: loss = 1.4190597534179688, acc = 0.5791015625
Batch 99: loss = 1.426762342453003, acc = 0.541015625
Batch 100: loss = 1.3658517599105835, acc = 0.55859375
Batch 101: loss = 1.4968757629394531, acc = 0.533203125
Batch 102: loss = 1.5403295755386353, acc = 0.541015625
Batch 103: loss = 1.4981763362884521, acc = 0.5439453125
Batch 104: loss = 1.3710696697235107, acc = 0.576171875
Batch 105: loss = 1.4374803304672241, acc = 0.5478515625
Batch 106: loss = 1.4731428623199463, acc = 0.5439453125
Batch 107: loss = 1.4026811122894287, acc = 0.556640625
Batch 108: loss = 1.395268201828003, acc = 0.5595703125
Batch 109: loss = 1.368475079536438, acc = 0.55078125
Batch 110: loss = 1.3529396057128906, acc = 0.5810546875
Batch 111: loss = 1.5620969533920288, acc = 0.5166015625
Batch 112: loss = 1.3634144067764282, acc = 0.564453125
Batch 113: loss = 1.4171531200408936, acc = 0.55078125
Batch 114: loss = 1.475853443145752, acc = 0.564453125
Batch 115: loss = 1.5191617012023926, acc = 0.5498046875
Batch 116: loss = 1.5188453197479248, acc = 0.52734375
Batch 117: loss = 1.3985536098480225, acc = 0.580078125
Batch 118: loss = 1.3866125345230103, acc = 0.564453125
Batch 119: loss = 1.4692407846450806, acc = 0.51953125
Batch 120: loss = 1.5310275554656982, acc = 0.517578125
Batch 121: loss = 1.3509331941604614, acc = 0.5634765625
Batch 122: loss = 1.3760803937911987, acc = 0.5703125
Batch 123: loss = 1.3960552215576172, acc = 0.564453125
Batch 124: loss = 1.4557362794876099, acc = 0.537109375
Batch 125: loss = 1.4211480617523193, acc = 0.548828125
Batch 126: loss = 1.540765404701233, acc = 0.5419921875

Epoch 6/100
Batch 1: loss = 1.9315521717071533, acc = 0.4833984375
Batch 2: loss = 1.502223253250122, acc = 0.529296875
Batch 3: loss = 1.5402510166168213, acc = 0.53515625
Batch 4: loss = 1.395174264907837, acc = 0.5556640625
Batch 5: loss = 1.5998222827911377, acc = 0.5029296875
Batch 6: loss = 1.61801016330719, acc = 0.517578125
Batch 7: loss = 1.578840970993042, acc = 0.525390625
Batch 8: loss = 1.4221124649047852, acc = 0.5625
Batch 9: loss = 1.4262405633926392, acc = 0.5419921875
Batch 10: loss = 1.2946531772613525, acc = 0.5986328125
Batch 11: loss = 1.4595897197723389, acc = 0.5390625
Batch 12: loss = 1.571437120437622, acc = 0.5126953125
Batch 13: loss = 1.476283311843872, acc = 0.537109375
Batch 14: loss = 1.3531785011291504, acc = 0.5625
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Batch 16: loss = 1.522951602935791, acc = 0.513671875
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Batch 18: loss = 1.5558825731277466, acc = 0.5234375
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Batch 20: loss = 1.3527979850769043, acc = 0.5732421875
Batch 21: loss = 1.584853172302246, acc = 0.5029296875
Batch 22: loss = 1.369291067123413, acc = 0.5712890625
Batch 23: loss = 1.4353551864624023, acc = 0.5361328125
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Batch 25: loss = 1.3559033870697021, acc = 0.57421875
Batch 26: loss = 1.3743318319320679, acc = 0.583984375
Batch 27: loss = 1.4338196516036987, acc = 0.5546875
Batch 28: loss = 1.415677785873413, acc = 0.546875
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Batch 35: loss = 1.4548799991607666, acc = 0.54296875
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Batch 37: loss = 1.521811604499817, acc = 0.5634765625
Batch 38: loss = 1.5299572944641113, acc = 0.53515625
Batch 39: loss = 1.4768110513687134, acc = 0.5361328125
Batch 40: loss = 1.4450714588165283, acc = 0.546875
Batch 41: loss = 1.3257054090499878, acc = 0.576171875
Batch 42: loss = 1.3736200332641602, acc = 0.5634765625
Batch 43: loss = 1.4458731412887573, acc = 0.5400390625
Batch 44: loss = 1.3904356956481934, acc = 0.5595703125
Batch 45: loss = 1.2639966011047363, acc = 0.6044921875
Batch 46: loss = 1.3793420791625977, acc = 0.5693359375
Batch 47: loss = 1.382025957107544, acc = 0.55859375
Batch 48: loss = 1.3020353317260742, acc = 0.5791015625
Batch 49: loss = 1.2741715908050537, acc = 0.5927734375
Batch 50: loss = 1.294905662536621, acc = 0.59375
Batch 51: loss = 1.360120177268982, acc = 0.5634765625
Batch 52: loss = 1.4850363731384277, acc = 0.52734375
Batch 53: loss = 1.459820032119751, acc = 0.53125
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Batch 55: loss = 1.371085524559021, acc = 0.580078125
Batch 56: loss = 1.3300187587738037, acc = 0.564453125
Batch 57: loss = 1.4514625072479248, acc = 0.5126953125
Batch 58: loss = 1.4102078676223755, acc = 0.5537109375
Batch 59: loss = 1.1889535188674927, acc = 0.623046875
Batch 60: loss = 1.3514833450317383, acc = 0.5498046875
Batch 61: loss = 1.4593846797943115, acc = 0.5400390625
Batch 62: loss = 1.551917552947998, acc = 0.486328125
Batch 63: loss = 1.5478003025054932, acc = 0.5146484375
Batch 64: loss = 1.1386183500289917, acc = 0.6376953125
Batch 65: loss = 1.3817732334136963, acc = 0.5732421875
Batch 66: loss = 1.329563856124878, acc = 0.5751953125
Batch 67: loss = 1.3317127227783203, acc = 0.5986328125
Batch 68: loss = 1.3706095218658447, acc = 0.58984375
Batch 69: loss = 1.322316288948059, acc = 0.58203125
Batch 70: loss = 1.4439070224761963, acc = 0.544921875
Batch 71: loss = 1.3050638437271118, acc = 0.5810546875
Batch 72: loss = 1.2633998394012451, acc = 0.6005859375
Batch 73: loss = 1.4172146320343018, acc = 0.5537109375
Batch 74: loss = 1.3647761344909668, acc = 0.5390625
Batch 75: loss = 1.4412983655929565, acc = 0.537109375
Batch 76: loss = 1.446054220199585, acc = 0.54296875
Batch 77: loss = 1.2518343925476074, acc = 0.6025390625
Batch 78: loss = 1.2649849653244019, acc = 0.5927734375
Batch 79: loss = 1.1486788988113403, acc = 0.626953125
Batch 80: loss = 1.2631334066390991, acc = 0.560546875
Batch 81: loss = 1.2637226581573486, acc = 0.6044921875
Batch 82: loss = 1.2089431285858154, acc = 0.62109375
Batch 83: loss = 1.2902650833129883, acc = 0.5830078125
Batch 84: loss = 1.2895236015319824, acc = 0.5908203125
Batch 85: loss = 1.3878209590911865, acc = 0.556640625
Batch 86: loss = 1.3461568355560303, acc = 0.5869140625
Batch 87: loss = 1.296225905418396, acc = 0.615234375
Batch 88: loss = 1.5045137405395508, acc = 0.5302734375
Batch 89: loss = 1.3958749771118164, acc = 0.56640625
Batch 90: loss = 1.486483097076416, acc = 0.53515625
Batch 91: loss = 1.4482157230377197, acc = 0.54296875
Batch 92: loss = 1.2417532205581665, acc = 0.595703125
Batch 93: loss = 1.23195481300354, acc = 0.615234375
Batch 94: loss = 1.263588786125183, acc = 0.6064453125
Batch 95: loss = 1.3266751766204834, acc = 0.548828125
Batch 96: loss = 1.3282504081726074, acc = 0.5654296875
Batch 97: loss = 1.3402273654937744, acc = 0.5751953125
Batch 98: loss = 1.3367373943328857, acc = 0.603515625
Batch 99: loss = 1.3470829725265503, acc = 0.556640625
Batch 100: loss = 1.2930052280426025, acc = 0.5810546875
Batch 101: loss = 1.393386960029602, acc = 0.5556640625
Batch 102: loss = 1.4557414054870605, acc = 0.5400390625
Batch 103: loss = 1.4242725372314453, acc = 0.55859375
Batch 104: loss = 1.272107720375061, acc = 0.591796875
Batch 105: loss = 1.3494008779525757, acc = 0.5732421875
Batch 106: loss = 1.4194886684417725, acc = 0.5576171875
Batch 107: loss = 1.3279523849487305, acc = 0.572265625
Batch 108: loss = 1.338085651397705, acc = 0.5615234375
Batch 109: loss = 1.3065310716629028, acc = 0.5712890625
Batch 110: loss = 1.2691212892532349, acc = 0.5947265625
Batch 111: loss = 1.4756088256835938, acc = 0.53515625
Batch 112: loss = 1.291202187538147, acc = 0.5771484375
Batch 113: loss = 1.3276047706604004, acc = 0.564453125
Batch 114: loss = 1.390828013420105, acc = 0.5830078125
Batch 115: loss = 1.4630873203277588, acc = 0.5478515625
Batch 116: loss = 1.4615644216537476, acc = 0.5361328125
Batch 117: loss = 1.3363871574401855, acc = 0.5986328125
Batch 118: loss = 1.3057982921600342, acc = 0.56640625
Batch 119: loss = 1.429585576057434, acc = 0.5283203125
Batch 120: loss = 1.4601539373397827, acc = 0.5283203125
Batch 121: loss = 1.2985029220581055, acc = 0.572265625
Batch 122: loss = 1.3175666332244873, acc = 0.587890625
Batch 123: loss = 1.3357853889465332, acc = 0.576171875
Batch 124: loss = 1.3886535167694092, acc = 0.5478515625
Batch 125: loss = 1.3596996068954468, acc = 0.5732421875
Batch 126: loss = 1.4686166048049927, acc = 0.556640625

Epoch 7/100
Batch 1: loss = 1.8302080631256104, acc = 0.4931640625
Batch 2: loss = 1.448176383972168, acc = 0.541015625
Batch 3: loss = 1.454297423362732, acc = 0.5546875
Batch 4: loss = 1.3474721908569336, acc = 0.572265625
Batch 5: loss = 1.5251286029815674, acc = 0.5205078125
Batch 6: loss = 1.5451326370239258, acc = 0.52734375
Batch 7: loss = 1.5001229047775269, acc = 0.525390625
Batch 8: loss = 1.354753851890564, acc = 0.568359375
Batch 9: loss = 1.3390129804611206, acc = 0.57421875
Batch 10: loss = 1.2114009857177734, acc = 0.611328125
Batch 11: loss = 1.384641408920288, acc = 0.5546875
Batch 12: loss = 1.522101879119873, acc = 0.5146484375
Batch 13: loss = 1.3917925357818604, acc = 0.5498046875
Batch 14: loss = 1.2949354648590088, acc = 0.5810546875
Batch 15: loss = 1.3492867946624756, acc = 0.5791015625
Batch 16: loss = 1.470292329788208, acc = 0.5283203125
Batch 17: loss = 1.4090275764465332, acc = 0.564453125
Batch 18: loss = 1.4856314659118652, acc = 0.529296875
Batch 19: loss = 1.4692955017089844, acc = 0.5458984375
Batch 20: loss = 1.289626121520996, acc = 0.5859375
Batch 21: loss = 1.5217982530593872, acc = 0.529296875
Batch 22: loss = 1.2941443920135498, acc = 0.5791015625
Batch 23: loss = 1.349380612373352, acc = 0.544921875
Batch 24: loss = 1.4202171564102173, acc = 0.5546875
Batch 25: loss = 1.2805981636047363, acc = 0.591796875
Batch 26: loss = 1.3241233825683594, acc = 0.58203125
Batch 27: loss = 1.3845229148864746, acc = 0.5498046875
Batch 28: loss = 1.3551045656204224, acc = 0.5712890625
Batch 29: loss = 1.3181798458099365, acc = 0.607421875
Batch 30: loss = 1.3123897314071655, acc = 0.583984375
Batch 31: loss = 1.4171767234802246, acc = 0.5595703125
Batch 32: loss = 1.5915563106536865, acc = 0.5068359375
Batch 33: loss = 1.386869192123413, acc = 0.564453125
Batch 34: loss = 1.392135500907898, acc = 0.5478515625
Batch 35: loss = 1.3934085369110107, acc = 0.556640625
Batch 36: loss = 1.4442203044891357, acc = 0.5556640625
Batch 37: loss = 1.4487361907958984, acc = 0.5771484375
Batch 38: loss = 1.4371356964111328, acc = 0.544921875
Batch 39: loss = 1.3889515399932861, acc = 0.5546875
Batch 40: loss = 1.3879884481430054, acc = 0.5615234375
Batch 41: loss = 1.2733652591705322, acc = 0.59375
Batch 42: loss = 1.2993764877319336, acc = 0.5712890625
Batch 43: loss = 1.3711656332015991, acc = 0.544921875
Batch 44: loss = 1.337634801864624, acc = 0.5751953125
Batch 45: loss = 1.189774990081787, acc = 0.615234375
Batch 46: loss = 1.3318696022033691, acc = 0.580078125
Batch 47: loss = 1.2812776565551758, acc = 0.5732421875
Batch 48: loss = 1.2240759134292603, acc = 0.603515625
Batch 49: loss = 1.1968662738800049, acc = 0.626953125
Batch 50: loss = 1.244269847869873, acc = 0.6044921875
Batch 51: loss = 1.301901936531067, acc = 0.5595703125
Batch 52: loss = 1.4221737384796143, acc = 0.53125
Batch 53: loss = 1.3936803340911865, acc = 0.5458984375
Batch 54: loss = 1.2843091487884521, acc = 0.603515625
Batch 55: loss = 1.313774824142456, acc = 0.58203125
Batch 56: loss = 1.291394829750061, acc = 0.5751953125
Batch 57: loss = 1.3884791135787964, acc = 0.521484375
Batch 58: loss = 1.34963059425354, acc = 0.56640625
Batch 59: loss = 1.1095308065414429, acc = 0.6337890625
Batch 60: loss = 1.284639596939087, acc = 0.578125
Batch 61: loss = 1.3829598426818848, acc = 0.564453125
Batch 62: loss = 1.4853688478469849, acc = 0.498046875
Batch 63: loss = 1.4684219360351562, acc = 0.52734375
Batch 64: loss = 1.077593207359314, acc = 0.650390625
Batch 65: loss = 1.3551369905471802, acc = 0.568359375
Batch 66: loss = 1.3026520013809204, acc = 0.5849609375
Batch 67: loss = 1.2619688510894775, acc = 0.6259765625
Batch 68: loss = 1.3166654109954834, acc = 0.595703125
Batch 69: loss = 1.2634284496307373, acc = 0.599609375
Batch 70: loss = 1.4051485061645508, acc = 0.5537109375
Batch 71: loss = 1.2637171745300293, acc = 0.6005859375
Batch 72: loss = 1.199277400970459, acc = 0.6162109375
Batch 73: loss = 1.3675044775009155, acc = 0.5615234375
Batch 74: loss = 1.3314542770385742, acc = 0.564453125
Batch 75: loss = 1.4133286476135254, acc = 0.5205078125
Batch 76: loss = 1.4005331993103027, acc = 0.5625
Batch 77: loss = 1.1986815929412842, acc = 0.6279296875
Batch 78: loss = 1.2256653308868408, acc = 0.58984375
Batch 79: loss = 1.0984009504318237, acc = 0.6396484375
Batch 80: loss = 1.2122653722763062, acc = 0.5830078125
Batch 81: loss = 1.2062444686889648, acc = 0.6083984375
Batch 82: loss = 1.144284725189209, acc = 0.62890625
Batch 83: loss = 1.2590044736862183, acc = 0.59765625
Batch 84: loss = 1.2487449645996094, acc = 0.6083984375
Batch 85: loss = 1.3543469905853271, acc = 0.572265625
Batch 86: loss = 1.3028497695922852, acc = 0.5849609375
Batch 87: loss = 1.2440742254257202, acc = 0.625
Batch 88: loss = 1.4393460750579834, acc = 0.544921875
Batch 89: loss = 1.3369061946868896, acc = 0.576171875
Batch 90: loss = 1.4504499435424805, acc = 0.5537109375
Batch 91: loss = 1.3845469951629639, acc = 0.5546875
Batch 92: loss = 1.2120749950408936, acc = 0.6025390625
Batch 93: loss = 1.167757511138916, acc = 0.6357421875
Batch 94: loss = 1.2204668521881104, acc = 0.6025390625
Batch 95: loss = 1.2829262018203735, acc = 0.5576171875
Batch 96: loss = 1.3098255395889282, acc = 0.5556640625
Batch 97: loss = 1.2893365621566772, acc = 0.5791015625
Batch 98: loss = 1.2889957427978516, acc = 0.6044921875
Batch 99: loss = 1.3047351837158203, acc = 0.5693359375
Batch 100: loss = 1.2652453184127808, acc = 0.5908203125
Batch 101: loss = 1.3335552215576172, acc = 0.5693359375
Batch 102: loss = 1.3951983451843262, acc = 0.572265625
Batch 103: loss = 1.3572778701782227, acc = 0.57421875
Batch 104: loss = 1.2238569259643555, acc = 0.603515625
Batch 105: loss = 1.300654411315918, acc = 0.587890625
Batch 106: loss = 1.3644709587097168, acc = 0.5576171875
Batch 107: loss = 1.272972583770752, acc = 0.5908203125
Batch 108: loss = 1.2787046432495117, acc = 0.583984375
Batch 109: loss = 1.2607715129852295, acc = 0.5771484375
Batch 110: loss = 1.22431218624115, acc = 0.611328125
Batch 111: loss = 1.4141873121261597, acc = 0.5498046875
Batch 112: loss = 1.238264799118042, acc = 0.6044921875
Batch 113: loss = 1.286467432975769, acc = 0.578125
Batch 114: loss = 1.3342657089233398, acc = 0.6044921875
Batch 115: loss = 1.3953051567077637, acc = 0.5625
Batch 116: loss = 1.3910677433013916, acc = 0.548828125
Batch 117: loss = 1.2642887830734253, acc = 0.6123046875
Batch 118: loss = 1.2428429126739502, acc = 0.58984375
Batch 119: loss = 1.3453738689422607, acc = 0.548828125
Batch 120: loss = 1.395221471786499, acc = 0.55859375
Batch 121: loss = 1.2213882207870483, acc = 0.5947265625
Batch 122: loss = 1.2457201480865479, acc = 0.6005859375
Batch 123: loss = 1.2662208080291748, acc = 0.5966796875
Batch 124: loss = 1.3422988653182983, acc = 0.5537109375
Batch 125: loss = 1.3307318687438965, acc = 0.5732421875
Batch 126: loss = 1.4468778371810913, acc = 0.5673828125

Epoch 8/100
Batch 1: loss = 1.7242096662521362, acc = 0.525390625
Batch 2: loss = 1.4119117259979248, acc = 0.5703125
Batch 3: loss = 1.3692104816436768, acc = 0.5673828125
Batch 4: loss = 1.3185925483703613, acc = 0.57421875
Batch 5: loss = 1.463935136795044, acc = 0.5419921875
Batch 6: loss = 1.4952950477600098, acc = 0.53125
Batch 7: loss = 1.4710556268692017, acc = 0.5263671875
Batch 8: loss = 1.2774760723114014, acc = 0.5849609375
Batch 9: loss = 1.2981263399124146, acc = 0.5888671875
Batch 10: loss = 1.1922290325164795, acc = 0.6142578125
Batch 11: loss = 1.3873662948608398, acc = 0.54296875
Batch 12: loss = 1.4614207744598389, acc = 0.53125
Batch 13: loss = 1.3422315120697021, acc = 0.55859375
Batch 14: loss = 1.2498230934143066, acc = 0.58984375
Batch 15: loss = 1.284131407737732, acc = 0.5947265625
Batch 16: loss = 1.441833257675171, acc = 0.5322265625
Batch 17: loss = 1.3522543907165527, acc = 0.572265625
Batch 18: loss = 1.4298827648162842, acc = 0.544921875
Batch 19: loss = 1.394632339477539, acc = 0.5673828125
Batch 20: loss = 1.252681016921997, acc = 0.6025390625
Batch 21: loss = 1.464604139328003, acc = 0.53125
Batch 22: loss = 1.2270641326904297, acc = 0.580078125
Batch 23: loss = 1.3109849691390991, acc = 0.55859375
Batch 24: loss = 1.3468579053878784, acc = 0.5654296875
Batch 25: loss = 1.2269630432128906, acc = 0.6083984375
Batch 26: loss = 1.2342369556427002, acc = 0.6064453125
Batch 27: loss = 1.3269615173339844, acc = 0.580078125
Batch 28: loss = 1.3225510120391846, acc = 0.5712890625
Batch 29: loss = 1.2855600118637085, acc = 0.609375
Batch 30: loss = 1.2411303520202637, acc = 0.603515625
Batch 31: loss = 1.378375768661499, acc = 0.5537109375
Batch 32: loss = 1.5365511178970337, acc = 0.5146484375
Batch 33: loss = 1.3137623071670532, acc = 0.583984375
Batch 34: loss = 1.3573081493377686, acc = 0.5478515625
Batch 35: loss = 1.3464511632919312, acc = 0.5576171875
Batch 36: loss = 1.3720927238464355, acc = 0.5771484375
Batch 37: loss = 1.3756004571914673, acc = 0.5830078125
Batch 38: loss = 1.4003269672393799, acc = 0.5771484375
Batch 39: loss = 1.3372294902801514, acc = 0.564453125
Batch 40: loss = 1.320343017578125, acc = 0.5625
Batch 41: loss = 1.2240877151489258, acc = 0.6015625
Batch 42: loss = 1.2536191940307617, acc = 0.5869140625
Batch 43: loss = 1.3357446193695068, acc = 0.55078125
Batch 44: loss = 1.2867484092712402, acc = 0.5830078125
Batch 45: loss = 1.1476775407791138, acc = 0.6337890625
Batch 46: loss = 1.2863048315048218, acc = 0.587890625
Batch 47: loss = 1.2548637390136719, acc = 0.587890625
Batch 48: loss = 1.2005133628845215, acc = 0.595703125
Batch 49: loss = 1.1470768451690674, acc = 0.6318359375
Batch 50: loss = 1.1893696784973145, acc = 0.625
Batch 51: loss = 1.2320265769958496, acc = 0.580078125
Batch 52: loss = 1.3626965284347534, acc = 0.5517578125
Batch 53: loss = 1.3452521562576294, acc = 0.55078125
Batch 54: loss = 1.2581596374511719, acc = 0.6103515625
Batch 55: loss = 1.2500410079956055, acc = 0.5986328125
Batch 56: loss = 1.2515017986297607, acc = 0.580078125
Batch 57: loss = 1.3437796831130981, acc = 0.544921875
Batch 58: loss = 1.2974298000335693, acc = 0.5830078125
Batch 59: loss = 1.0588221549987793, acc = 0.654296875
Batch 60: loss = 1.2527270317077637, acc = 0.5791015625
Batch 61: loss = 1.323241949081421, acc = 0.5654296875
Batch 62: loss = 1.4835164546966553, acc = 0.49609375
Batch 63: loss = 1.4274349212646484, acc = 0.5419921875
Batch 64: loss = 1.0460166931152344, acc = 0.6435546875
Batch 65: loss = 1.3214821815490723, acc = 0.5791015625
Batch 66: loss = 1.2566176652908325, acc = 0.5986328125
Batch 67: loss = 1.2420063018798828, acc = 0.6240234375
Batch 68: loss = 1.3221515417099, acc = 0.591796875
Batch 69: loss = 1.247521162033081, acc = 0.6083984375
Batch 70: loss = 1.3585247993469238, acc = 0.576171875
Batch 71: loss = 1.200092077255249, acc = 0.615234375
Batch 72: loss = 1.169158935546875, acc = 0.6162109375
Batch 73: loss = 1.3199890851974487, acc = 0.5693359375
Batch 74: loss = 1.3006138801574707, acc = 0.5703125
Batch 75: loss = 1.369797945022583, acc = 0.533203125
Batch 76: loss = 1.3538846969604492, acc = 0.56640625
Batch 77: loss = 1.174478530883789, acc = 0.623046875
Batch 78: loss = 1.191791296005249, acc = 0.6044921875
Batch 79: loss = 1.046729326248169, acc = 0.66015625
Batch 80: loss = 1.155137538909912, acc = 0.59375
Batch 81: loss = 1.172245740890503, acc = 0.6171875
Batch 82: loss = 1.097900152206421, acc = 0.65625
Batch 83: loss = 1.2235913276672363, acc = 0.5986328125
Batch 84: loss = 1.2068711519241333, acc = 0.6142578125
Batch 85: loss = 1.308954119682312, acc = 0.5771484375
Batch 86: loss = 1.2587761878967285, acc = 0.5947265625
Batch 87: loss = 1.2058205604553223, acc = 0.623046875
Batch 88: loss = 1.3796868324279785, acc = 0.5673828125
Batch 89: loss = 1.284157633781433, acc = 0.580078125
Batch 90: loss = 1.3753700256347656, acc = 0.5810546875
Batch 91: loss = 1.3393357992172241, acc = 0.578125
Batch 92: loss = 1.1693025827407837, acc = 0.6240234375
Batch 93: loss = 1.1220979690551758, acc = 0.630859375
Batch 94: loss = 1.1757948398590088, acc = 0.6279296875
Batch 95: loss = 1.2278761863708496, acc = 0.578125
Batch 96: loss = 1.2724082469940186, acc = 0.58203125
Batch 97: loss = 1.2560913562774658, acc = 0.5927734375
Batch 98: loss = 1.2703181505203247, acc = 0.6142578125
Batch 99: loss = 1.2578105926513672, acc = 0.5927734375
Batch 100: loss = 1.2250854969024658, acc = 0.599609375
Batch 101: loss = 1.2934467792510986, acc = 0.587890625
Batch 102: loss = 1.356359839439392, acc = 0.560546875
Batch 103: loss = 1.2940807342529297, acc = 0.5771484375
Batch 104: loss = 1.1716666221618652, acc = 0.609375
Batch 105: loss = 1.256937861442566, acc = 0.591796875
Batch 106: loss = 1.3143532276153564, acc = 0.58984375
Batch 107: loss = 1.2353515625, acc = 0.6083984375
Batch 108: loss = 1.239320993423462, acc = 0.5927734375
Batch 109: loss = 1.2304081916809082, acc = 0.5966796875
Batch 110: loss = 1.1863963603973389, acc = 0.6220703125
Batch 111: loss = 1.3604174852371216, acc = 0.5654296875
Batch 112: loss = 1.1939897537231445, acc = 0.6044921875
Batch 113: loss = 1.2344772815704346, acc = 0.595703125
Batch 114: loss = 1.3046579360961914, acc = 0.611328125
Batch 115: loss = 1.3416244983673096, acc = 0.5791015625
Batch 116: loss = 1.3611400127410889, acc = 0.556640625
Batch 117: loss = 1.1992266178131104, acc = 0.62109375
Batch 118: loss = 1.1854972839355469, acc = 0.615234375
Batch 119: loss = 1.3021657466888428, acc = 0.560546875
Batch 120: loss = 1.344836950302124, acc = 0.5703125
Batch 121: loss = 1.1917781829833984, acc = 0.603515625
Batch 122: loss = 1.2044892311096191, acc = 0.60546875
Batch 123: loss = 1.21903395652771, acc = 0.60546875
Batch 124: loss = 1.2991868257522583, acc = 0.5576171875
Batch 125: loss = 1.3071929216384888, acc = 0.576171875
Batch 126: loss = 1.3910701274871826, acc = 0.587890625

Epoch 9/100
Batch 1: loss = 1.6609013080596924, acc = 0.537109375
Batch 2: loss = 1.3704609870910645, acc = 0.572265625
Batch 3: loss = 1.3320523500442505, acc = 0.58203125
Batch 4: loss = 1.2783000469207764, acc = 0.5888671875
Batch 5: loss = 1.4101347923278809, acc = 0.5546875
Batch 6: loss = 1.437124252319336, acc = 0.5380859375
Batch 7: loss = 1.4197882413864136, acc = 0.55078125
Batch 8: loss = 1.258619785308838, acc = 0.5859375
Batch 9: loss = 1.2510592937469482, acc = 0.59375
Batch 10: loss = 1.1477477550506592, acc = 0.6337890625
Batch 11: loss = 1.3442087173461914, acc = 0.56640625
Batch 12: loss = 1.4172676801681519, acc = 0.541015625
Batch 13: loss = 1.300971508026123, acc = 0.564453125
Batch 14: loss = 1.1960861682891846, acc = 0.603515625
Batch 15: loss = 1.2402687072753906, acc = 0.5966796875
Batch 16: loss = 1.3544270992279053, acc = 0.55859375
Batch 17: loss = 1.2784419059753418, acc = 0.5830078125
Batch 18: loss = 1.389939785003662, acc = 0.5419921875
Batch 19: loss = 1.3380388021469116, acc = 0.5703125
Batch 20: loss = 1.2317872047424316, acc = 0.6083984375
Batch 21: loss = 1.4108729362487793, acc = 0.5400390625
Batch 22: loss = 1.196180820465088, acc = 0.609375
Batch 23: loss = 1.2722699642181396, acc = 0.5712890625
Batch 24: loss = 1.2847360372543335, acc = 0.58203125
Batch 25: loss = 1.1806888580322266, acc = 0.6240234375
Batch 26: loss = 1.2130839824676514, acc = 0.6171875
Batch 27: loss = 1.2942744493484497, acc = 0.580078125
Batch 28: loss = 1.2849833965301514, acc = 0.587890625
Batch 29: loss = 1.2345386743545532, acc = 0.6123046875
Batch 30: loss = 1.1945022344589233, acc = 0.6162109375
Batch 31: loss = 1.3271427154541016, acc = 0.580078125
Batch 32: loss = 1.504475474357605, acc = 0.5185546875
Batch 33: loss = 1.2578213214874268, acc = 0.59375
Batch 34: loss = 1.2825427055358887, acc = 0.572265625
Batch 35: loss = 1.297534704208374, acc = 0.572265625
Batch 36: loss = 1.311356782913208, acc = 0.587890625
Batch 37: loss = 1.3254655599594116, acc = 0.5966796875
Batch 38: loss = 1.3414804935455322, acc = 0.5810546875
Batch 39: loss = 1.2943979501724243, acc = 0.5771484375
Batch 40: loss = 1.2673734426498413, acc = 0.58984375
Batch 41: loss = 1.1924506425857544, acc = 0.60546875
Batch 42: loss = 1.2095894813537598, acc = 0.60546875
Batch 43: loss = 1.2865207195281982, acc = 0.5576171875
Batch 44: loss = 1.231814980506897, acc = 0.6083984375
Batch 45: loss = 1.1111910343170166, acc = 0.63671875
Batch 46: loss = 1.244546890258789, acc = 0.5986328125
Batch 47: loss = 1.2111470699310303, acc = 0.5927734375
Batch 48: loss = 1.1575111150741577, acc = 0.619140625
Batch 49: loss = 1.0981048345565796, acc = 0.6455078125
Batch 50: loss = 1.1495777368545532, acc = 0.6396484375
Batch 51: loss = 1.1970679759979248, acc = 0.5927734375
Batch 52: loss = 1.314113736152649, acc = 0.56640625
Batch 53: loss = 1.271636724472046, acc = 0.5751953125
Batch 54: loss = 1.1935949325561523, acc = 0.6142578125
Batch 55: loss = 1.204816222190857, acc = 0.6123046875
Batch 56: loss = 1.1949081420898438, acc = 0.5966796875
Batch 57: loss = 1.3093838691711426, acc = 0.5615234375
Batch 58: loss = 1.2531764507293701, acc = 0.59375
Batch 59: loss = 1.0255236625671387, acc = 0.666015625
Batch 60: loss = 1.220031499862671, acc = 0.5888671875
Batch 61: loss = 1.3014655113220215, acc = 0.5791015625
Batch 62: loss = 1.4212466478347778, acc = 0.5146484375
Batch 63: loss = 1.3672287464141846, acc = 0.5625
Batch 64: loss = 1.0145658254623413, acc = 0.6640625
Batch 65: loss = 1.2449679374694824, acc = 0.59765625
Batch 66: loss = 1.2156805992126465, acc = 0.595703125
Batch 67: loss = 1.1743495464324951, acc = 0.6376953125
Batch 68: loss = 1.2581977844238281, acc = 0.58984375
Batch 69: loss = 1.2047865390777588, acc = 0.6201171875
Batch 70: loss = 1.2936838865280151, acc = 0.58203125
Batch 71: loss = 1.164294958114624, acc = 0.6298828125
Batch 72: loss = 1.1285667419433594, acc = 0.62890625
Batch 73: loss = 1.2645604610443115, acc = 0.5751953125
Batch 74: loss = 1.2647730112075806, acc = 0.572265625
Batch 75: loss = 1.3335142135620117, acc = 0.55859375
Batch 76: loss = 1.3015024662017822, acc = 0.5849609375
Batch 77: loss = 1.1307523250579834, acc = 0.6220703125
Batch 78: loss = 1.1555635929107666, acc = 0.625
Batch 79: loss = 1.0222032070159912, acc = 0.6708984375
Batch 80: loss = 1.098891258239746, acc = 0.6181640625
Batch 81: loss = 1.1277740001678467, acc = 0.6357421875
Batch 82: loss = 1.0521267652511597, acc = 0.6591796875
Batch 83: loss = 1.1811014413833618, acc = 0.6220703125
Batch 84: loss = 1.1619021892547607, acc = 0.6220703125
Batch 85: loss = 1.261968731880188, acc = 0.5859375
Batch 86: loss = 1.2171010971069336, acc = 0.6123046875
Batch 87: loss = 1.1618666648864746, acc = 0.62109375
Batch 88: loss = 1.3444159030914307, acc = 0.5732421875
Batch 89: loss = 1.2458057403564453, acc = 0.6025390625
Batch 90: loss = 1.3458497524261475, acc = 0.59765625
Batch 91: loss = 1.2951502799987793, acc = 0.5869140625
Batch 92: loss = 1.154228687286377, acc = 0.6259765625
Batch 93: loss = 1.0824445486068726, acc = 0.650390625
Batch 94: loss = 1.1326303482055664, acc = 0.6328125
Batch 95: loss = 1.2088873386383057, acc = 0.5869140625
Batch 96: loss = 1.2121493816375732, acc = 0.59765625
Batch 97: loss = 1.2227929830551147, acc = 0.609375
Batch 98: loss = 1.2027771472930908, acc = 0.6220703125
Batch 99: loss = 1.2407848834991455, acc = 0.591796875
Batch 100: loss = 1.2021443843841553, acc = 0.591796875
Batch 101: loss = 1.240979790687561, acc = 0.591796875
Batch 102: loss = 1.3104490041732788, acc = 0.5830078125
Batch 103: loss = 1.2531824111938477, acc = 0.5966796875
Batch 104: loss = 1.1336379051208496, acc = 0.6279296875
Batch 105: loss = 1.2229669094085693, acc = 0.607421875
Batch 106: loss = 1.2801871299743652, acc = 0.591796875
Batch 107: loss = 1.1937776803970337, acc = 0.6142578125
Batch 108: loss = 1.1879242658615112, acc = 0.6064453125
Batch 109: loss = 1.1890127658843994, acc = 0.603515625
Batch 110: loss = 1.1364063024520874, acc = 0.6328125
Batch 111: loss = 1.2999805212020874, acc = 0.56640625
Batch 112: loss = 1.1530382633209229, acc = 0.6220703125
Batch 113: loss = 1.2143828868865967, acc = 0.609375
Batch 114: loss = 1.2649565935134888, acc = 0.6083984375
Batch 115: loss = 1.3232579231262207, acc = 0.580078125
Batch 116: loss = 1.3252787590026855, acc = 0.5791015625
Batch 117: loss = 1.1759939193725586, acc = 0.623046875
Batch 118: loss = 1.1480755805969238, acc = 0.6083984375
Batch 119: loss = 1.242323875427246, acc = 0.5830078125
Batch 120: loss = 1.2938121557235718, acc = 0.583984375
Batch 121: loss = 1.1544991731643677, acc = 0.625
Batch 122: loss = 1.1738251447677612, acc = 0.630859375
Batch 123: loss = 1.1952697038650513, acc = 0.609375
Batch 124: loss = 1.245868444442749, acc = 0.5693359375
Batch 125: loss = 1.2370431423187256, acc = 0.58984375
Batch 126: loss = 1.352095365524292, acc = 0.580078125

Epoch 10/100
Batch 1: loss = 1.5713026523590088, acc = 0.5390625
Batch 2: loss = 1.35065495967865, acc = 0.5830078125
Batch 3: loss = 1.270303726196289, acc = 0.59765625
Batch 4: loss = 1.245780348777771, acc = 0.5947265625
Batch 5: loss = 1.3946716785430908, acc = 0.5595703125
Batch 6: loss = 1.39150071144104, acc = 0.5634765625
Batch 7: loss = 1.3762526512145996, acc = 0.5654296875
Batch 8: loss = 1.2103855609893799, acc = 0.603515625
Batch 9: loss = 1.1918280124664307, acc = 0.5986328125
Batch 10: loss = 1.1169943809509277, acc = 0.638671875
Batch 11: loss = 1.2964446544647217, acc = 0.5791015625
Batch 12: loss = 1.3638235330581665, acc = 0.560546875
Batch 13: loss = 1.250872015953064, acc = 0.57421875
Batch 14: loss = 1.1787370443344116, acc = 0.6015625
Batch 15: loss = 1.193570613861084, acc = 0.609375
Batch 16: loss = 1.3296072483062744, acc = 0.556640625
Batch 17: loss = 1.2550450563430786, acc = 0.6015625
Batch 18: loss = 1.3272757530212402, acc = 0.5615234375
Batch 19: loss = 1.2961516380310059, acc = 0.5830078125
Batch 20: loss = 1.184178352355957, acc = 0.6220703125
Batch 21: loss = 1.3630621433258057, acc = 0.57421875
Batch 22: loss = 1.1499637365341187, acc = 0.611328125
Batch 23: loss = 1.2127296924591064, acc = 0.5927734375
Batch 24: loss = 1.2226613759994507, acc = 0.59375
Batch 25: loss = 1.1206202507019043, acc = 0.63671875
Batch 26: loss = 1.139592170715332, acc = 0.650390625
Batch 27: loss = 1.2597861289978027, acc = 0.6005859375
Batch 28: loss = 1.2289385795593262, acc = 0.611328125
Batch 29: loss = 1.1823174953460693, acc = 0.6435546875
Batch 30: loss = 1.1422059535980225, acc = 0.630859375
Batch 31: loss = 1.3003759384155273, acc = 0.583984375
Batch 32: loss = 1.4414870738983154, acc = 0.537109375
Batch 33: loss = 1.2241992950439453, acc = 0.609375
Batch 34: loss = 1.2698936462402344, acc = 0.5830078125
Batch 35: loss = 1.2752225399017334, acc = 0.58984375
Batch 36: loss = 1.2831521034240723, acc = 0.609375
Batch 37: loss = 1.2613627910614014, acc = 0.6279296875
Batch 38: loss = 1.290900707244873, acc = 0.6005859375
Batch 39: loss = 1.2510402202606201, acc = 0.576171875
Batch 40: loss = 1.2317540645599365, acc = 0.5908203125
Batch 41: loss = 1.149364709854126, acc = 0.6162109375
Batch 42: loss = 1.17104172706604, acc = 0.615234375
Batch 43: loss = 1.2406398057937622, acc = 0.5849609375
Batch 44: loss = 1.1854385137557983, acc = 0.6123046875
Batch 45: loss = 1.0788252353668213, acc = 0.642578125
Batch 46: loss = 1.1834371089935303, acc = 0.6171875
Batch 47: loss = 1.1818151473999023, acc = 0.6123046875
Batch 48: loss = 1.115086317062378, acc = 0.630859375
Batch 49: loss = 1.0604881048202515, acc = 0.6591796875
Batch 50: loss = 1.1173279285430908, acc = 0.6455078125
Batch 51: loss = 1.1338995695114136, acc = 0.6201171875
Batch 52: loss = 1.250144362449646, acc = 0.5888671875
Batch 53: loss = 1.246719479560852, acc = 0.572265625
Batch 54: loss = 1.1630151271820068, acc = 0.6376953125
Batch 55: loss = 1.1307413578033447, acc = 0.634765625
Batch 56: loss = 1.159106969833374, acc = 0.615234375
Batch 57: loss = 1.2724398374557495, acc = 0.578125
Batch 58: loss = 1.2239686250686646, acc = 0.607421875
Batch 59: loss = 0.9987097978591919, acc = 0.681640625
Batch 60: loss = 1.1866798400878906, acc = 0.5927734375
Batch 61: loss = 1.2345529794692993, acc = 0.6201171875
Batch 62: loss = 1.3696393966674805, acc = 0.54296875
Batch 63: loss = 1.3292427062988281, acc = 0.56640625
Batch 64: loss = 0.9868543148040771, acc = 0.6640625
Batch 65: loss = 1.2146000862121582, acc = 0.619140625
Batch 66: loss = 1.1807825565338135, acc = 0.6064453125
Batch 67: loss = 1.1089458465576172, acc = 0.65625
Batch 68: loss = 1.2077951431274414, acc = 0.607421875
Batch 69: loss = 1.1662867069244385, acc = 0.6279296875
Batch 70: loss = 1.24458646774292, acc = 0.599609375
Batch 71: loss = 1.1251661777496338, acc = 0.6279296875
Batch 72: loss = 1.098541021347046, acc = 0.6279296875
Batch 73: loss = 1.2351078987121582, acc = 0.59375
Batch 74: loss = 1.2300050258636475, acc = 0.5908203125
Batch 75: loss = 1.3069100379943848, acc = 0.5576171875
Batch 76: loss = 1.2471649646759033, acc = 0.6025390625
Batch 77: loss = 1.0898158550262451, acc = 0.6357421875
Batch 78: loss = 1.1170347929000854, acc = 0.6220703125
Batch 79: loss = 0.975594162940979, acc = 0.68359375
Batch 80: loss = 1.0718951225280762, acc = 0.6259765625
Batch 81: loss = 1.094799280166626, acc = 0.6396484375
Batch 82: loss = 1.0195670127868652, acc = 0.66796875
Batch 83: loss = 1.1470630168914795, acc = 0.619140625
Batch 84: loss = 1.1269421577453613, acc = 0.626953125
Batch 85: loss = 1.249361276626587, acc = 0.58984375
Batch 86: loss = 1.1716394424438477, acc = 0.611328125
Batch 87: loss = 1.1258245706558228, acc = 0.6318359375
Batch 88: loss = 1.2795120477676392, acc = 0.591796875
Batch 89: loss = 1.1866488456726074, acc = 0.615234375
Batch 90: loss = 1.2930399179458618, acc = 0.60546875
Batch 91: loss = 1.2478278875350952, acc = 0.6015625
Batch 92: loss = 1.1155321598052979, acc = 0.6279296875
Batch 93: loss = 1.0519800186157227, acc = 0.6484375
Batch 94: loss = 1.093937873840332, acc = 0.64453125
Batch 95: loss = 1.148876667022705, acc = 0.5986328125
Batch 96: loss = 1.193619728088379, acc = 0.6025390625
Batch 97: loss = 1.1759006977081299, acc = 0.6103515625
Batch 98: loss = 1.1545400619506836, acc = 0.6494140625
Batch 99: loss = 1.2111972570419312, acc = 0.6044921875
Batch 100: loss = 1.1695164442062378, acc = 0.62109375
Batch 101: loss = 1.1866012811660767, acc = 0.6162109375
Batch 102: loss = 1.2594196796417236, acc = 0.5869140625
Batch 103: loss = 1.212059497833252, acc = 0.61328125
Batch 104: loss = 1.1050612926483154, acc = 0.6328125
Batch 105: loss = 1.1766352653503418, acc = 0.6259765625
Batch 106: loss = 1.2475250959396362, acc = 0.591796875
Batch 107: loss = 1.1554900407791138, acc = 0.6279296875
Batch 108: loss = 1.1686493158340454, acc = 0.6181640625
Batch 109: loss = 1.1397333145141602, acc = 0.6201171875
Batch 110: loss = 1.0933873653411865, acc = 0.6416015625
Batch 111: loss = 1.2754467725753784, acc = 0.57421875
Batch 112: loss = 1.1189485788345337, acc = 0.623046875
Batch 113: loss = 1.1735470294952393, acc = 0.619140625
Batch 114: loss = 1.234515905380249, acc = 0.634765625
Batch 115: loss = 1.2823765277862549, acc = 0.5849609375
Batch 116: loss = 1.2932144403457642, acc = 0.587890625
Batch 117: loss = 1.1559457778930664, acc = 0.6240234375
Batch 118: loss = 1.1101562976837158, acc = 0.625
Batch 119: loss = 1.2189000844955444, acc = 0.58984375
Batch 120: loss = 1.2553319931030273, acc = 0.5986328125
Batch 121: loss = 1.1328673362731934, acc = 0.6103515625
Batch 122: loss = 1.118100881576538, acc = 0.63671875
Batch 123: loss = 1.1673030853271484, acc = 0.6318359375
Batch 124: loss = 1.2184834480285645, acc = 0.57421875
Batch 125: loss = 1.2109625339508057, acc = 0.603515625
Batch 126: loss = 1.3134946823120117, acc = 0.583984375
Saved checkpoint to weights.10.h5

Epoch 11/100
Batch 1: loss = 1.505108118057251, acc = 0.5751953125
Batch 2: loss = 1.309122920036316, acc = 0.5927734375
Batch 3: loss = 1.2175662517547607, acc = 0.6103515625
Batch 4: loss = 1.2116873264312744, acc = 0.6064453125
Batch 5: loss = 1.3507494926452637, acc = 0.5654296875
Batch 6: loss = 1.340490698814392, acc = 0.5751953125
Batch 7: loss = 1.311434030532837, acc = 0.58203125
Batch 8: loss = 1.1871715784072876, acc = 0.5927734375
Batch 9: loss = 1.1675559282302856, acc = 0.615234375
Batch 10: loss = 1.0812138319015503, acc = 0.6494140625
Batch 11: loss = 1.2436141967773438, acc = 0.58984375
Batch 12: loss = 1.2972123622894287, acc = 0.5791015625
Batch 13: loss = 1.2265105247497559, acc = 0.5888671875
Batch 14: loss = 1.1319340467453003, acc = 0.6083984375
Batch 15: loss = 1.131420612335205, acc = 0.6259765625
Batch 16: loss = 1.2683101892471313, acc = 0.580078125
Batch 17: loss = 1.2197988033294678, acc = 0.611328125
Batch 18: loss = 1.2870795726776123, acc = 0.5810546875
Batch 19: loss = 1.236362338066101, acc = 0.599609375
Batch 20: loss = 1.1356269121170044, acc = 0.634765625
Batch 21: loss = 1.3222733736038208, acc = 0.5771484375
Batch 22: loss = 1.1127328872680664, acc = 0.6201171875
Batch 23: loss = 1.1721031665802002, acc = 0.5966796875
Batch 24: loss = 1.1744792461395264, acc = 0.62890625
Batch 25: loss = 1.0955774784088135, acc = 0.65234375
Batch 26: loss = 1.0934052467346191, acc = 0.6552734375
Batch 27: loss = 1.247756838798523, acc = 0.5888671875
Batch 28: loss = 1.1897945404052734, acc = 0.6083984375
Batch 29: loss = 1.1586494445800781, acc = 0.6357421875
Batch 30: loss = 1.0947506427764893, acc = 0.642578125
Batch 31: loss = 1.2379555702209473, acc = 0.6044921875
Batch 32: loss = 1.3998494148254395, acc = 0.55078125
Batch 33: loss = 1.175322413444519, acc = 0.6240234375
Batch 34: loss = 1.223479986190796, acc = 0.59375
Batch 35: loss = 1.2381935119628906, acc = 0.5927734375
Batch 36: loss = 1.2196502685546875, acc = 0.62890625
Batch 37: loss = 1.216873288154602, acc = 0.6201171875
Batch 38: loss = 1.265829086303711, acc = 0.6103515625
Batch 39: loss = 1.2057712078094482, acc = 0.5986328125
Batch 40: loss = 1.1934044361114502, acc = 0.609375
Batch 41: loss = 1.1233000755310059, acc = 0.6318359375
Batch 42: loss = 1.1523141860961914, acc = 0.6064453125
Batch 43: loss = 1.2026326656341553, acc = 0.5986328125
Batch 44: loss = 1.142859697341919, acc = 0.623046875
Batch 45: loss = 1.0388580560684204, acc = 0.650390625
Batch 46: loss = 1.1629019975662231, acc = 0.6201171875
Batch 47: loss = 1.116675615310669, acc = 0.63671875
Batch 48: loss = 1.068164587020874, acc = 0.6337890625
Batch 49: loss = 1.031755805015564, acc = 0.650390625
Batch 50: loss = 1.0805100202560425, acc = 0.6611328125
Batch 51: loss = 1.120917558670044, acc = 0.63671875
Batch 52: loss = 1.2326165437698364, acc = 0.5986328125
Batch 53: loss = 1.2156569957733154, acc = 0.5849609375
Batch 54: loss = 1.0898720026016235, acc = 0.6494140625
Batch 55: loss = 1.0923190116882324, acc = 0.6552734375
Batch 56: loss = 1.1295278072357178, acc = 0.625
Batch 57: loss = 1.2287174463272095, acc = 0.5908203125
Batch 58: loss = 1.1842995882034302, acc = 0.6220703125
Batch 59: loss = 0.9575901031494141, acc = 0.6943359375
Batch 60: loss = 1.1406347751617432, acc = 0.6171875
Batch 61: loss = 1.1959137916564941, acc = 0.6181640625
Batch 62: loss = 1.3661324977874756, acc = 0.521484375
Batch 63: loss = 1.2901387214660645, acc = 0.58984375
Batch 64: loss = 0.9597892165184021, acc = 0.6875
Batch 65: loss = 1.1952365636825562, acc = 0.609375
Batch 66: loss = 1.1528480052947998, acc = 0.6162109375
Batch 67: loss = 1.0692951679229736, acc = 0.64453125
Batch 68: loss = 1.1588945388793945, acc = 0.6123046875
Batch 69: loss = 1.1079096794128418, acc = 0.6416015625
Batch 70: loss = 1.201467752456665, acc = 0.6083984375
Batch 71: loss = 1.0870732069015503, acc = 0.6484375
Batch 72: loss = 1.050097107887268, acc = 0.6435546875
Batch 73: loss = 1.2064335346221924, acc = 0.5986328125
Batch 74: loss = 1.1817958354949951, acc = 0.60546875
Batch 75: loss = 1.2735611200332642, acc = 0.5712890625
Batch 76: loss = 1.20620596408844, acc = 0.6025390625
Batch 77: loss = 1.0514575242996216, acc = 0.6572265625
Batch 78: loss = 1.0903013944625854, acc = 0.6337890625
Batch 79: loss = 0.9441905617713928, acc = 0.689453125
Batch 80: loss = 1.0257267951965332, acc = 0.6455078125
Batch 81: loss = 1.072924017906189, acc = 0.634765625
Batch 82: loss = 0.9929036498069763, acc = 0.6748046875
Batch 83: loss = 1.0918793678283691, acc = 0.6328125
Batch 84: loss = 1.1189168691635132, acc = 0.6298828125
Batch 85: loss = 1.2211482524871826, acc = 0.587890625
Batch 86: loss = 1.1425848007202148, acc = 0.6240234375
Batch 87: loss = 1.076076626777649, acc = 0.6396484375
Batch 88: loss = 1.2374444007873535, acc = 0.6064453125
Batch 89: loss = 1.16000497341156, acc = 0.62890625
Batch 90: loss = 1.2362968921661377, acc = 0.6123046875
Batch 91: loss = 1.2058297395706177, acc = 0.6201171875
Batch 92: loss = 1.055694341659546, acc = 0.654296875
Batch 93: loss = 1.015743613243103, acc = 0.6748046875
Batch 94: loss = 1.0780048370361328, acc = 0.650390625
Batch 95: loss = 1.1156597137451172, acc = 0.619140625
Batch 96: loss = 1.1461788415908813, acc = 0.626953125
Batch 97: loss = 1.1369627714157104, acc = 0.62890625
Batch 98: loss = 1.1271553039550781, acc = 0.642578125
Batch 99: loss = 1.1417126655578613, acc = 0.6259765625
Batch 100: loss = 1.1189146041870117, acc = 0.619140625
Batch 101: loss = 1.1464674472808838, acc = 0.619140625
Batch 102: loss = 1.2151427268981934, acc = 0.6103515625
Batch 103: loss = 1.1826887130737305, acc = 0.6181640625
Batch 104: loss = 1.0668580532073975, acc = 0.64453125
Batch 105: loss = 1.120260238647461, acc = 0.640625
Batch 106: loss = 1.1988155841827393, acc = 0.6123046875
Batch 107: loss = 1.111299753189087, acc = 0.6416015625
Batch 108: loss = 1.1207064390182495, acc = 0.6337890625
Batch 109: loss = 1.104950189590454, acc = 0.623046875
Batch 110: loss = 1.0470433235168457, acc = 0.6591796875
Batch 111: loss = 1.2473655939102173, acc = 0.5869140625
Batch 112: loss = 1.0678400993347168, acc = 0.654296875
Batch 113: loss = 1.1194524765014648, acc = 0.6357421875
Batch 114: loss = 1.1997551918029785, acc = 0.640625
Batch 115: loss = 1.2449520826339722, acc = 0.607421875
Batch 116: loss = 1.2610185146331787, acc = 0.59375
Batch 117: loss = 1.1013015508651733, acc = 0.6484375
Batch 118: loss = 1.053179383277893, acc = 0.6484375
Batch 119: loss = 1.153119444847107, acc = 0.615234375
Batch 120: loss = 1.2095569372177124, acc = 0.595703125
Batch 121: loss = 1.1047797203063965, acc = 0.62890625
Batch 122: loss = 1.079084873199463, acc = 0.65625
Batch 123: loss = 1.1230168342590332, acc = 0.6318359375
Batch 124: loss = 1.185197353363037, acc = 0.603515625
Batch 125: loss = 1.191230058670044, acc = 0.6025390625
Batch 126: loss = 1.278275489807129, acc = 0.5947265625

Epoch 12/100
Batch 1: loss = 1.4485409259796143, acc = 0.578125
Batch 2: loss = 1.2877140045166016, acc = 0.5830078125
Batch 3: loss = 1.2061762809753418, acc = 0.6220703125
Batch 4: loss = 1.1884266138076782, acc = 0.6123046875
Batch 5: loss = 1.2954087257385254, acc = 0.58984375
Batch 6: loss = 1.2883555889129639, acc = 0.5908203125
Batch 7: loss = 1.2702515125274658, acc = 0.58984375
Batch 8: loss = 1.1361334323883057, acc = 0.6337890625
Batch 9: loss = 1.1404716968536377, acc = 0.63671875
Batch 10: loss = 1.0318171977996826, acc = 0.666015625
Batch 11: loss = 1.2111791372299194, acc = 0.6015625
Batch 12: loss = 1.2557618618011475, acc = 0.578125
Batch 13: loss = 1.1737293004989624, acc = 0.59375
Batch 14: loss = 1.113824725151062, acc = 0.626953125
Batch 15: loss = 1.116945505142212, acc = 0.6279296875
Batch 16: loss = 1.2431056499481201, acc = 0.587890625
Batch 17: loss = 1.1742606163024902, acc = 0.630859375
Batch 18: loss = 1.2302736043930054, acc = 0.5810546875
Batch 19: loss = 1.161820411682129, acc = 0.626953125
Batch 20: loss = 1.0934556722640991, acc = 0.63671875
Batch 21: loss = 1.2770702838897705, acc = 0.59375
Batch 22: loss = 1.07555091381073, acc = 0.6455078125
Batch 23: loss = 1.1277365684509277, acc = 0.62109375
Batch 24: loss = 1.1267890930175781, acc = 0.6298828125
Batch 25: loss = 1.049299716949463, acc = 0.662109375
Batch 26: loss = 1.0594408512115479, acc = 0.6591796875
Batch 27: loss = 1.196746826171875, acc = 0.6044921875
Batch 28: loss = 1.142710566520691, acc = 0.623046875
Batch 29: loss = 1.132032036781311, acc = 0.6513671875
Batch 30: loss = 1.0351014137268066, acc = 0.669921875
Batch 31: loss = 1.2503583431243896, acc = 0.59765625
Batch 32: loss = 1.362154483795166, acc = 0.55859375
Batch 33: loss = 1.1436550617218018, acc = 0.6220703125
Batch 34: loss = 1.174567461013794, acc = 0.609375
Batch 35: loss = 1.1777076721191406, acc = 0.6181640625
Batch 36: loss = 1.1907758712768555, acc = 0.6171875
Batch 37: loss = 1.179111123085022, acc = 0.6259765625
Batch 38: loss = 1.235451579093933, acc = 0.62109375
Batch 39: loss = 1.1779701709747314, acc = 0.6064453125
Batch 40: loss = 1.1384879350662231, acc = 0.6220703125
Batch 41: loss = 1.0737508535385132, acc = 0.6376953125
Batch 42: loss = 1.103811502456665, acc = 0.6328125
Batch 43: loss = 1.174773931503296, acc = 0.587890625
Batch 44: loss = 1.1154836416244507, acc = 0.63671875
Batch 45: loss = 1.0093183517456055, acc = 0.6689453125
Batch 46: loss = 1.1183582544326782, acc = 0.64453125
Batch 47: loss = 1.0969678163528442, acc = 0.6298828125
Batch 48: loss = 1.0345168113708496, acc = 0.650390625
Batch 49: loss = 0.998667299747467, acc = 0.669921875
Batch 50: loss = 1.0683643817901611, acc = 0.646484375
Batch 51: loss = 1.0716784000396729, acc = 0.6552734375
Batch 52: loss = 1.1667420864105225, acc = 0.6201171875
Batch 53: loss = 1.1563273668289185, acc = 0.6220703125
Batch 54: loss = 1.096639633178711, acc = 0.6572265625
Batch 55: loss = 1.0595840215682983, acc = 0.65234375
Batch 56: loss = 1.0828070640563965, acc = 0.638671875
Batch 57: loss = 1.185610055923462, acc = 0.6103515625
Batch 58: loss = 1.1650123596191406, acc = 0.626953125
Batch 59: loss = 0.917241096496582, acc = 0.7041015625
Batch 60: loss = 1.089111089706421, acc = 0.6357421875
Batch 61: loss = 1.153588891029358, acc = 0.630859375
Batch 62: loss = 1.310594081878662, acc = 0.55078125
Batch 63: loss = 1.2910699844360352, acc = 0.5869140625
Batch 64: loss = 0.9178879261016846, acc = 0.6953125
Batch 65: loss = 1.1541823148727417, acc = 0.6201171875
Batch 66: loss = 1.1223578453063965, acc = 0.6259765625
Batch 67: loss = 1.0463759899139404, acc = 0.6669921875
Batch 68: loss = 1.1236687898635864, acc = 0.6357421875
Batch 69: loss = 1.098283290863037, acc = 0.6494140625
Batch 70: loss = 1.1720303297042847, acc = 0.638671875
Batch 71: loss = 1.0509721040725708, acc = 0.6650390625
Batch 72: loss = 1.0474618673324585, acc = 0.65625
Batch 73: loss = 1.1546978950500488, acc = 0.619140625
Batch 74: loss = 1.179792046546936, acc = 0.59765625
Batch 75: loss = 1.2224867343902588, acc = 0.599609375
Batch 76: loss = 1.1615544557571411, acc = 0.6201171875
Batch 77: loss = 1.0258764028549194, acc = 0.6650390625
Batch 78: loss = 1.0620836019515991, acc = 0.654296875
Batch 79: loss = 0.9139003753662109, acc = 0.70703125
Batch 80: loss = 0.9810715317726135, acc = 0.6533203125
Batch 81: loss = 1.038109302520752, acc = 0.6416015625
Batch 82: loss = 0.9629759192466736, acc = 0.6787109375
Batch 83: loss = 1.0968825817108154, acc = 0.634765625
Batch 84: loss = 1.072853922843933, acc = 0.6494140625
Batch 85: loss = 1.1743496656417847, acc = 0.603515625
Batch 86: loss = 1.1075706481933594, acc = 0.6357421875
Batch 87: loss = 1.0499112606048584, acc = 0.65625
Batch 88: loss = 1.2185170650482178, acc = 0.5966796875
Batch 89: loss = 1.1077760457992554, acc = 0.65234375
Batch 90: loss = 1.1949620246887207, acc = 0.6337890625
Batch 91: loss = 1.182150959968567, acc = 0.6103515625
Batch 92: loss = 1.0433791875839233, acc = 0.6669921875
Batch 93: loss = 0.9935671091079712, acc = 0.6708984375
Batch 94: loss = 1.0339844226837158, acc = 0.6591796875
Batch 95: loss = 1.0920222997665405, acc = 0.615234375
Batch 96: loss = 1.1126190423965454, acc = 0.630859375
Batch 97: loss = 1.1045877933502197, acc = 0.6318359375
Batch 98: loss = 1.0992157459259033, acc = 0.6513671875
Batch 99: loss = 1.1215553283691406, acc = 0.6455078125
Batch 100: loss = 1.0899181365966797, acc = 0.630859375
Batch 101: loss = 1.1185340881347656, acc = 0.6455078125
Batch 102: loss = 1.2002958059310913, acc = 0.609375
Batch 103: loss = 1.1310789585113525, acc = 0.63671875
Batch 104: loss = 1.0302150249481201, acc = 0.65234375
Batch 105: loss = 1.1071488857269287, acc = 0.6376953125
Batch 106: loss = 1.1674308776855469, acc = 0.6142578125
Batch 107: loss = 1.09783935546875, acc = 0.6455078125
Batch 108: loss = 1.0914188623428345, acc = 0.6337890625
Batch 109: loss = 1.0782337188720703, acc = 0.638671875
Batch 110: loss = 1.0182621479034424, acc = 0.685546875
Batch 111: loss = 1.1997027397155762, acc = 0.5986328125
Batch 112: loss = 1.0451414585113525, acc = 0.662109375
Batch 113: loss = 1.097372055053711, acc = 0.6484375
Batch 114: loss = 1.1602659225463867, acc = 0.64453125
Batch 115: loss = 1.201155185699463, acc = 0.609375
Batch 116: loss = 1.2041882276535034, acc = 0.619140625
Batch 117: loss = 1.0715129375457764, acc = 0.654296875
Batch 118: loss = 1.0145881175994873, acc = 0.64453125
Batch 119: loss = 1.1207752227783203, acc = 0.6328125
Batch 120: loss = 1.1682932376861572, acc = 0.6103515625
Batch 121: loss = 1.0558593273162842, acc = 0.6435546875
Batch 122: loss = 1.0716521739959717, acc = 0.6513671875
Batch 123: loss = 1.0846102237701416, acc = 0.642578125
Batch 124: loss = 1.17715585231781, acc = 0.5986328125
Batch 125: loss = 1.1425690650939941, acc = 0.61328125
Batch 126: loss = 1.2488394975662231, acc = 0.5986328125

Epoch 13/100
Batch 1: loss = 1.4076601266860962, acc = 0.5830078125
Batch 2: loss = 1.2660975456237793, acc = 0.5859375
Batch 3: loss = 1.155617356300354, acc = 0.634765625
Batch 4: loss = 1.1317507028579712, acc = 0.6220703125
Batch 5: loss = 1.2825226783752441, acc = 0.5703125
Batch 6: loss = 1.2381644248962402, acc = 0.59765625
Batch 7: loss = 1.2284772396087646, acc = 0.607421875
Batch 8: loss = 1.1016281843185425, acc = 0.6259765625
Batch 9: loss = 1.0836923122406006, acc = 0.650390625
Batch 10: loss = 1.0183334350585938, acc = 0.677734375
Batch 11: loss = 1.1907252073287964, acc = 0.595703125
Batch 12: loss = 1.2133395671844482, acc = 0.5830078125
Batch 13: loss = 1.1343170404434204, acc = 0.615234375
Batch 14: loss = 1.0671526193618774, acc = 0.6494140625
Batch 15: loss = 1.0649235248565674, acc = 0.6474609375
Batch 16: loss = 1.212908148765564, acc = 0.591796875
Batch 17: loss = 1.1522326469421387, acc = 0.6376953125
Batch 18: loss = 1.1755387783050537, acc = 0.609375
Batch 19: loss = 1.1308536529541016, acc = 0.6357421875
Batch 20: loss = 1.0584797859191895, acc = 0.66015625
Batch 21: loss = 1.2404013872146606, acc = 0.6015625
Batch 22: loss = 1.0471248626708984, acc = 0.65625
Batch 23: loss = 1.0992404222488403, acc = 0.642578125
Batch 24: loss = 1.097137212753296, acc = 0.63671875
Batch 25: loss = 1.0137939453125, acc = 0.6767578125
Batch 26: loss = 1.0112903118133545, acc = 0.6728515625
Batch 27: loss = 1.15276038646698, acc = 0.61328125
Batch 28: loss = 1.1131926774978638, acc = 0.6376953125
Batch 29: loss = 1.1013920307159424, acc = 0.666015625
Batch 30: loss = 1.0251671075820923, acc = 0.6748046875
Batch 31: loss = 1.1926162242889404, acc = 0.6181640625
Batch 32: loss = 1.3054096698760986, acc = 0.5791015625
Batch 33: loss = 1.1145504713058472, acc = 0.6240234375
Batch 34: loss = 1.1358808279037476, acc = 0.6220703125
Batch 35: loss = 1.146858811378479, acc = 0.6298828125
Batch 36: loss = 1.13466215133667, acc = 0.638671875
Batch 37: loss = 1.1347711086273193, acc = 0.6533203125
Batch 38: loss = 1.195613145828247, acc = 0.63671875
Batch 39: loss = 1.1486632823944092, acc = 0.6201171875
Batch 40: loss = 1.090264916419983, acc = 0.6318359375
Batch 41: loss = 1.0459260940551758, acc = 0.6552734375
Batch 42: loss = 1.0555907487869263, acc = 0.6513671875
Batch 43: loss = 1.1476771831512451, acc = 0.6162109375
Batch 44: loss = 1.0736491680145264, acc = 0.6455078125
Batch 45: loss = 0.972649335861206, acc = 0.671875
Batch 46: loss = 1.0913788080215454, acc = 0.638671875
Batch 47: loss = 1.0591301918029785, acc = 0.65625
Batch 48: loss = 1.0206429958343506, acc = 0.654296875
Batch 49: loss = 0.9660533666610718, acc = 0.681640625
Batch 50: loss = 1.0215096473693848, acc = 0.6865234375
Batch 51: loss = 1.0339735746383667, acc = 0.6552734375
Batch 52: loss = 1.1123356819152832, acc = 0.6279296875
Batch 53: loss = 1.1387418508529663, acc = 0.6171875
Batch 54: loss = 1.0355539321899414, acc = 0.67578125
Batch 55: loss = 1.0229296684265137, acc = 0.6630859375
Batch 56: loss = 1.0651898384094238, acc = 0.6396484375
Batch 57: loss = 1.1431641578674316, acc = 0.623046875
Batch 58: loss = 1.1406737565994263, acc = 0.630859375
Batch 59: loss = 0.8969436287879944, acc = 0.7177734375
Batch 60: loss = 1.095422387123108, acc = 0.62890625
Batch 61: loss = 1.1490362882614136, acc = 0.630859375
Batch 62: loss = 1.3016934394836426, acc = 0.5576171875
Batch 63: loss = 1.251664638519287, acc = 0.6083984375
Batch 64: loss = 0.9218880534172058, acc = 0.69140625
Batch 65: loss = 1.1332483291625977, acc = 0.6279296875
Batch 66: loss = 1.088003158569336, acc = 0.6474609375
Batch 67: loss = 1.0034899711608887, acc = 0.66796875
Batch 68: loss = 1.099158525466919, acc = 0.63671875
Batch 69: loss = 1.0542395114898682, acc = 0.6591796875
Batch 70: loss = 1.1498982906341553, acc = 0.6259765625
Batch 71: loss = 1.0243306159973145, acc = 0.6591796875
Batch 72: loss = 1.028531789779663, acc = 0.658203125
Batch 73: loss = 1.1703050136566162, acc = 0.6162109375
Batch 74: loss = 1.1504950523376465, acc = 0.6162109375
Batch 75: loss = 1.2053717374801636, acc = 0.607421875
Batch 76: loss = 1.1195552349090576, acc = 0.6376953125
Batch 77: loss = 0.9965511560440063, acc = 0.6591796875
Batch 78: loss = 1.0227177143096924, acc = 0.6669921875
Batch 79: loss = 0.8849871158599854, acc = 0.7080078125
Batch 80: loss = 0.9779843688011169, acc = 0.6591796875
Batch 81: loss = 1.0166230201721191, acc = 0.65234375
Batch 82: loss = 0.9221504926681519, acc = 0.7021484375
Batch 83: loss = 1.0579299926757812, acc = 0.646484375
Batch 84: loss = 1.0421489477157593, acc = 0.658203125
Batch 85: loss = 1.153280258178711, acc = 0.6201171875
Batch 86: loss = 1.0734803676605225, acc = 0.6318359375
Batch 87: loss = 1.024526596069336, acc = 0.66015625
Batch 88: loss = 1.1927069425582886, acc = 0.607421875
Batch 89: loss = 1.0632554292678833, acc = 0.65234375
Batch 90: loss = 1.1494606733322144, acc = 0.6298828125
Batch 91: loss = 1.175778865814209, acc = 0.630859375
Batch 92: loss = 1.0315117835998535, acc = 0.6611328125
Batch 93: loss = 0.9627211093902588, acc = 0.6884765625
Batch 94: loss = 1.0138647556304932, acc = 0.6591796875
Batch 95: loss = 1.0627607107162476, acc = 0.626953125
Batch 96: loss = 1.099771499633789, acc = 0.630859375
Batch 97: loss = 1.0649714469909668, acc = 0.6474609375
Batch 98: loss = 1.0737807750701904, acc = 0.662109375
Batch 99: loss = 1.097230076789856, acc = 0.6337890625
Batch 100: loss = 1.0676279067993164, acc = 0.6533203125
Batch 101: loss = 1.075650930404663, acc = 0.6494140625
Batch 102: loss = 1.1650910377502441, acc = 0.626953125
Batch 103: loss = 1.102797269821167, acc = 0.6494140625
Batch 104: loss = 1.0077555179595947, acc = 0.6748046875
Batch 105: loss = 1.069532871246338, acc = 0.6552734375
Batch 106: loss = 1.153813362121582, acc = 0.6181640625
Batch 107: loss = 1.0690995454788208, acc = 0.642578125
Batch 108: loss = 1.078903079032898, acc = 0.640625
Batch 109: loss = 1.0665709972381592, acc = 0.64453125
Batch 110: loss = 0.9909079074859619, acc = 0.6748046875
Batch 111: loss = 1.200594186782837, acc = 0.61328125
Batch 112: loss = 1.0100858211517334, acc = 0.658203125
Batch 113: loss = 1.0625746250152588, acc = 0.6640625
Batch 114: loss = 1.1289056539535522, acc = 0.642578125
Batch 115: loss = 1.1621489524841309, acc = 0.6181640625
Batch 116: loss = 1.1970713138580322, acc = 0.619140625
Batch 117: loss = 1.0334303379058838, acc = 0.6689453125
Batch 118: loss = 1.002052664756775, acc = 0.6640625
Batch 119: loss = 1.0984550714492798, acc = 0.6416015625
Batch 120: loss = 1.1526590585708618, acc = 0.62109375
Batch 121: loss = 1.0332823991775513, acc = 0.654296875
Batch 122: loss = 1.0546454191207886, acc = 0.6552734375
Batch 123: loss = 1.0979218482971191, acc = 0.640625
Batch 124: loss = 1.119114637374878, acc = 0.615234375
Batch 125: loss = 1.1308448314666748, acc = 0.615234375
Batch 126: loss = 1.1952760219573975, acc = 0.6240234375

Epoch 14/100
Batch 1: loss = 1.3998675346374512, acc = 0.599609375
Batch 2: loss = 1.2403416633605957, acc = 0.609375
Batch 3: loss = 1.1436553001403809, acc = 0.6376953125
Batch 4: loss = 1.1225217580795288, acc = 0.6298828125
Batch 5: loss = 1.2309041023254395, acc = 0.607421875
Batch 6: loss = 1.2041560411453247, acc = 0.61328125
Batch 7: loss = 1.1956908702850342, acc = 0.607421875
Batch 8: loss = 1.081553339958191, acc = 0.64453125
Batch 9: loss = 1.0893839597702026, acc = 0.6328125
Batch 10: loss = 0.9920835494995117, acc = 0.6767578125
Batch 11: loss = 1.1622307300567627, acc = 0.6083984375
Batch 12: loss = 1.1709851026535034, acc = 0.59765625
Batch 13: loss = 1.1067590713500977, acc = 0.626953125
Batch 14: loss = 1.0353471040725708, acc = 0.65234375
Batch 15: loss = 1.0225111246109009, acc = 0.6640625
Batch 16: loss = 1.1657719612121582, acc = 0.615234375
Batch 17: loss = 1.108628749847412, acc = 0.654296875
Batch 18: loss = 1.1562588214874268, acc = 0.6171875
Batch 19: loss = 1.0718967914581299, acc = 0.6572265625
Batch 20: loss = 1.0358613729476929, acc = 0.64453125
Batch 21: loss = 1.2045855522155762, acc = 0.61328125
Batch 22: loss = 1.0268125534057617, acc = 0.6611328125
Batch 23: loss = 1.0475854873657227, acc = 0.64453125
Batch 24: loss = 1.071732997894287, acc = 0.6474609375
Batch 25: loss = 0.9764252305030823, acc = 0.677734375
Batch 26: loss = 1.0040823221206665, acc = 0.677734375
Batch 27: loss = 1.1323660612106323, acc = 0.6328125
Batch 28: loss = 1.0914757251739502, acc = 0.630859375
Batch 29: loss = 1.0634987354278564, acc = 0.6689453125
Batch 30: loss = 1.0126675367355347, acc = 0.66796875
Batch 31: loss = 1.1577067375183105, acc = 0.6318359375
Batch 32: loss = 1.2861429452896118, acc = 0.5888671875
Batch 33: loss = 1.0773190259933472, acc = 0.6416015625
Batch 34: loss = 1.1178147792816162, acc = 0.6279296875
Batch 35: loss = 1.120406150817871, acc = 0.626953125
Batch 36: loss = 1.1145575046539307, acc = 0.6396484375
Batch 37: loss = 1.1147465705871582, acc = 0.6552734375
Batch 38: loss = 1.175769329071045, acc = 0.6484375
Batch 39: loss = 1.113494873046875, acc = 0.630859375
Batch 40: loss = 1.0779824256896973, acc = 0.6396484375
Batch 41: loss = 1.0236427783966064, acc = 0.658203125
Batch 42: loss = 1.0457935333251953, acc = 0.6494140625
Batch 43: loss = 1.1000642776489258, acc = 0.62890625
Batch 44: loss = 1.0344324111938477, acc = 0.671875
Batch 45: loss = 0.9542789459228516, acc = 0.666015625
Batch 46: loss = 1.0532681941986084, acc = 0.646484375
Batch 47: loss = 1.022804856300354, acc = 0.673828125
Batch 48: loss = 0.968433141708374, acc = 0.6650390625
Batch 49: loss = 0.9352983236312866, acc = 0.689453125
Batch 50: loss = 0.9933393597602844, acc = 0.6845703125
Batch 51: loss = 1.0164052248001099, acc = 0.6572265625
Batch 52: loss = 1.1017322540283203, acc = 0.6484375
Batch 53: loss = 1.1152796745300293, acc = 0.62109375
Batch 54: loss = 0.9953413009643555, acc = 0.6728515625
Batch 55: loss = 0.9875191450119019, acc = 0.67578125
Batch 56: loss = 1.0342984199523926, acc = 0.6533203125
Batch 57: loss = 1.134900450706482, acc = 0.6259765625
Batch 58: loss = 1.1078500747680664, acc = 0.640625
Batch 59: loss = 0.8899902105331421, acc = 0.7255859375
Batch 60: loss = 1.052714228630066, acc = 0.638671875
Batch 61: loss = 1.1006076335906982, acc = 0.642578125
Batch 62: loss = 1.2533972263336182, acc = 0.5556640625
Batch 63: loss = 1.2026305198669434, acc = 0.623046875
Batch 64: loss = 0.8847099542617798, acc = 0.6962890625
Batch 65: loss = 1.0841654539108276, acc = 0.642578125
Batch 66: loss = 1.0284730195999146, acc = 0.65234375
Batch 67: loss = 0.975624680519104, acc = 0.673828125
Batch 68: loss = 1.0757765769958496, acc = 0.65234375
Batch 69: loss = 1.0437805652618408, acc = 0.6650390625
Batch 70: loss = 1.1084511280059814, acc = 0.64453125
Batch 71: loss = 1.0100619792938232, acc = 0.6630859375
Batch 72: loss = 0.983870267868042, acc = 0.673828125
Batch 73: loss = 1.1279282569885254, acc = 0.623046875
Batch 74: loss = 1.127732515335083, acc = 0.623046875
Batch 75: loss = 1.180887222290039, acc = 0.6083984375
Batch 76: loss = 1.0984221696853638, acc = 0.6318359375
Batch 77: loss = 0.9842283725738525, acc = 0.67578125
Batch 78: loss = 0.9921715259552002, acc = 0.6728515625
Batch 79: loss = 0.8614023327827454, acc = 0.7197265625
Batch 80: loss = 0.948136568069458, acc = 0.681640625
Batch 81: loss = 0.9844391345977783, acc = 0.677734375
Batch 82: loss = 0.9172061681747437, acc = 0.6982421875
Batch 83: loss = 1.0398792028427124, acc = 0.6455078125
Batch 84: loss = 1.0122313499450684, acc = 0.6708984375
Batch 85: loss = 1.1346848011016846, acc = 0.6259765625
Batch 86: loss = 1.062410831451416, acc = 0.6455078125
Batch 87: loss = 0.9977220296859741, acc = 0.6689453125
Batch 88: loss = 1.170447587966919, acc = 0.6220703125
Batch 89: loss = 1.0578988790512085, acc = 0.6494140625
Batch 90: loss = 1.1134016513824463, acc = 0.642578125
Batch 91: loss = 1.1232218742370605, acc = 0.6474609375
Batch 92: loss = 1.0212596654891968, acc = 0.6552734375
Batch 93: loss = 0.9197594523429871, acc = 0.7001953125
Batch 94: loss = 0.9974277019500732, acc = 0.6728515625
Batch 95: loss = 1.0352959632873535, acc = 0.6396484375
Batch 96: loss = 1.070753574371338, acc = 0.6533203125
Batch 97: loss = 1.0389766693115234, acc = 0.6591796875
Batch 98: loss = 1.039384126663208, acc = 0.68359375
Batch 99: loss = 1.0734307765960693, acc = 0.6396484375
Batch 100: loss = 1.0394891500473022, acc = 0.654296875
Batch 101: loss = 1.0502357482910156, acc = 0.6494140625
Batch 102: loss = 1.1465342044830322, acc = 0.6298828125
Batch 103: loss = 1.0660767555236816, acc = 0.6640625
Batch 104: loss = 0.9804495573043823, acc = 0.66796875
Batch 105: loss = 1.0340666770935059, acc = 0.6650390625
Batch 106: loss = 1.1065659523010254, acc = 0.6416015625
Batch 107: loss = 1.0174524784088135, acc = 0.669921875
Batch 108: loss = 1.0394678115844727, acc = 0.654296875
Batch 109: loss = 1.044463872909546, acc = 0.6474609375
Batch 110: loss = 0.9595959186553955, acc = 0.68359375
Batch 111: loss = 1.1329734325408936, acc = 0.6318359375
Batch 112: loss = 0.982320249080658, acc = 0.6689453125
Batch 113: loss = 1.0538626909255981, acc = 0.6552734375
Batch 114: loss = 1.085705280303955, acc = 0.66796875
Batch 115: loss = 1.1329680681228638, acc = 0.6142578125
Batch 116: loss = 1.169930338859558, acc = 0.625
Batch 117: loss = 1.0240398645401, acc = 0.677734375
Batch 118: loss = 0.968462347984314, acc = 0.666015625
Batch 119: loss = 1.0774931907653809, acc = 0.650390625
Batch 120: loss = 1.118131160736084, acc = 0.625
Batch 121: loss = 0.9913343191146851, acc = 0.6669921875
Batch 122: loss = 1.018622875213623, acc = 0.6748046875
Batch 123: loss = 1.050669550895691, acc = 0.654296875
Batch 124: loss = 1.0910128355026245, acc = 0.623046875
Batch 125: loss = 1.108435869216919, acc = 0.63671875
Batch 126: loss = 1.1811301708221436, acc = 0.6328125

Epoch 15/100
Batch 1: loss = 1.338437557220459, acc = 0.59765625
Batch 2: loss = 1.1967346668243408, acc = 0.6103515625
Batch 3: loss = 1.1051154136657715, acc = 0.6484375
Batch 4: loss = 1.0994899272918701, acc = 0.642578125
Batch 5: loss = 1.1982855796813965, acc = 0.6064453125
Batch 6: loss = 1.1946864128112793, acc = 0.6181640625
Batch 7: loss = 1.1723923683166504, acc = 0.62109375
Batch 8: loss = 1.0825748443603516, acc = 0.658203125
Batch 9: loss = 1.0302424430847168, acc = 0.658203125
Batch 10: loss = 0.9702900648117065, acc = 0.681640625
Batch 11: loss = 1.0951341390609741, acc = 0.6259765625
Batch 12: loss = 1.121495246887207, acc = 0.6220703125
Batch 13: loss = 1.0599573850631714, acc = 0.6416015625
Batch 14: loss = 1.0298124551773071, acc = 0.66015625
Batch 15: loss = 1.0457112789154053, acc = 0.65234375
Batch 16: loss = 1.1390132904052734, acc = 0.611328125
Batch 17: loss = 1.079681158065796, acc = 0.65234375
Batch 18: loss = 1.124373197555542, acc = 0.63671875
Batch 19: loss = 1.041290044784546, acc = 0.66796875
Batch 20: loss = 1.016206979751587, acc = 0.66015625
Batch 21: loss = 1.1960136890411377, acc = 0.6220703125
Batch 22: loss = 1.0079100131988525, acc = 0.68359375
Batch 23: loss = 1.0264493227005005, acc = 0.646484375
Batch 24: loss = 1.0230036973953247, acc = 0.66796875
Batch 25: loss = 0.9537660479545593, acc = 0.6953125
Batch 26: loss = 0.9771024584770203, acc = 0.6787109375
Batch 27: loss = 1.1091643571853638, acc = 0.6298828125
Batch 28: loss = 1.0513596534729004, acc = 0.658203125
Batch 29: loss = 1.045383334159851, acc = 0.6748046875
Batch 30: loss = 0.9562750458717346, acc = 0.6943359375
Batch 31: loss = 1.1295596361160278, acc = 0.6416015625
Batch 32: loss = 1.2326476573944092, acc = 0.5859375
Batch 33: loss = 1.032662034034729, acc = 0.65625
Batch 34: loss = 1.0851035118103027, acc = 0.640625
Batch 35: loss = 1.0787127017974854, acc = 0.6435546875
Batch 36: loss = 1.0806630849838257, acc = 0.6552734375
Batch 37: loss = 1.0763614177703857, acc = 0.654296875
Batch 38: loss = 1.1527425050735474, acc = 0.634765625
Batch 39: loss = 1.0979584455490112, acc = 0.62890625
Batch 40: loss = 1.0569875240325928, acc = 0.6494140625
Batch 41: loss = 0.9750755429267883, acc = 0.67578125
Batch 42: loss = 1.0179121494293213, acc = 0.6552734375
Batch 43: loss = 1.0863066911697388, acc = 0.630859375
Batch 44: loss = 1.0163642168045044, acc = 0.67578125
Batch 45: loss = 0.9244458675384521, acc = 0.6640625
Batch 46: loss = 1.0227243900299072, acc = 0.6650390625
Batch 47: loss = 1.0003933906555176, acc = 0.6826171875
Batch 48: loss = 0.9427950978279114, acc = 0.6865234375
Batch 49: loss = 0.908394992351532, acc = 0.70703125
Batch 50: loss = 0.9534951448440552, acc = 0.6962890625
Batch 51: loss = 1.0126410722732544, acc = 0.646484375
Batch 52: loss = 1.072705864906311, acc = 0.6572265625
Batch 53: loss = 1.0802634954452515, acc = 0.6376953125
Batch 54: loss = 0.9814538955688477, acc = 0.6767578125
Batch 55: loss = 0.98922199010849, acc = 0.6787109375
Batch 56: loss = 1.01395845413208, acc = 0.6552734375
Batch 57: loss = 1.1133573055267334, acc = 0.623046875
Batch 58: loss = 1.094473123550415, acc = 0.6552734375
Batch 59: loss = 0.8613743782043457, acc = 0.73046875
Batch 60: loss = 1.0268104076385498, acc = 0.662109375
Batch 61: loss = 1.0510261058807373, acc = 0.658203125
Batch 62: loss = 1.2573626041412354, acc = 0.57421875
Batch 63: loss = 1.1874351501464844, acc = 0.6220703125
Batch 64: loss = 0.8863798379898071, acc = 0.71484375
Batch 65: loss = 1.0741485357284546, acc = 0.6455078125
Batch 66: loss = 1.0030431747436523, acc = 0.66796875
Batch 67: loss = 0.9498867988586426, acc = 0.6796875
Batch 68: loss = 1.0459271669387817, acc = 0.6484375
Batch 69: loss = 1.015091896057129, acc = 0.66796875
Batch 70: loss = 1.09747314453125, acc = 0.6494140625
Batch 71: loss = 1.0047285556793213, acc = 0.6708984375
Batch 72: loss = 0.9454954266548157, acc = 0.6875
Batch 73: loss = 1.079393744468689, acc = 0.640625
Batch 74: loss = 1.0736775398254395, acc = 0.6513671875
Batch 75: loss = 1.13344407081604, acc = 0.626953125
Batch 76: loss = 1.0732026100158691, acc = 0.63671875
Batch 77: loss = 0.9541513919830322, acc = 0.673828125
Batch 78: loss = 0.9846287965774536, acc = 0.6748046875
Batch 79: loss = 0.8312112092971802, acc = 0.73046875
Batch 80: loss = 0.9107614755630493, acc = 0.681640625
Batch 81: loss = 0.951251745223999, acc = 0.68359375
Batch 82: loss = 0.880878210067749, acc = 0.703125
Batch 83: loss = 1.0105385780334473, acc = 0.666015625
Batch 84: loss = 0.9968740940093994, acc = 0.681640625
Batch 85: loss = 1.097174882888794, acc = 0.626953125
Batch 86: loss = 1.0243479013442993, acc = 0.6474609375
Batch 87: loss = 0.9837764501571655, acc = 0.666015625
Batch 88: loss = 1.1293388605117798, acc = 0.626953125
Batch 89: loss = 1.0010993480682373, acc = 0.6630859375
Batch 90: loss = 1.106297254562378, acc = 0.6484375
Batch 91: loss = 1.1105690002441406, acc = 0.6435546875
Batch 92: loss = 0.9852590560913086, acc = 0.6669921875
Batch 93: loss = 0.895983099937439, acc = 0.708984375
Batch 94: loss = 0.9505739212036133, acc = 0.6806640625
Batch 95: loss = 0.989554762840271, acc = 0.66015625
Batch 96: loss = 1.0486719608306885, acc = 0.66015625
Batch 97: loss = 1.0144915580749512, acc = 0.6630859375
Batch 98: loss = 1.0279054641723633, acc = 0.6708984375
Batch 99: loss = 1.0331424474716187, acc = 0.6552734375
Batch 100: loss = 1.0286729335784912, acc = 0.6669921875
Batch 101: loss = 1.0166598558425903, acc = 0.673828125
Batch 102: loss = 1.1099579334259033, acc = 0.6396484375
Batch 103: loss = 1.0454161167144775, acc = 0.658203125
Batch 104: loss = 0.9514052867889404, acc = 0.685546875
Batch 105: loss = 0.9908924102783203, acc = 0.6630859375
Batch 106: loss = 1.0846538543701172, acc = 0.6455078125
Batch 107: loss = 1.0134687423706055, acc = 0.6689453125
Batch 108: loss = 1.0116766691207886, acc = 0.646484375
Batch 109: loss = 1.0037636756896973, acc = 0.6630859375
Batch 110: loss = 0.9388463497161865, acc = 0.6962890625
Batch 111: loss = 1.1398169994354248, acc = 0.615234375
Batch 112: loss = 0.9502893686294556, acc = 0.6826171875
Batch 113: loss = 1.0255920886993408, acc = 0.67578125
Batch 114: loss = 1.077291488647461, acc = 0.658203125
Batch 115: loss = 1.0924484729766846, acc = 0.6455078125
Batch 116: loss = 1.1360833644866943, acc = 0.634765625
Batch 117: loss = 0.9805948138237, acc = 0.6845703125
Batch 118: loss = 0.9406586289405823, acc = 0.6796875
Batch 119: loss = 1.040633201599121, acc = 0.654296875
Batch 120: loss = 1.0724897384643555, acc = 0.6484375
Batch 121: loss = 0.9740211367607117, acc = 0.6806640625
Batch 122: loss = 0.9844051003456116, acc = 0.693359375
Batch 123: loss = 1.0269056558609009, acc = 0.6640625
Batch 124: loss = 1.063167929649353, acc = 0.6513671875
Batch 125: loss = 1.078061819076538, acc = 0.6455078125
Batch 126: loss = 1.12791907787323, acc = 0.646484375

Epoch 16/100
Batch 1: loss = 1.3058485984802246, acc = 0.6220703125
Batch 2: loss = 1.1799428462982178, acc = 0.6279296875
Batch 3: loss = 1.0858242511749268, acc = 0.6630859375
Batch 4: loss = 1.0500662326812744, acc = 0.662109375
Batch 5: loss = 1.1638853549957275, acc = 0.6083984375
Batch 6: loss = 1.1773533821105957, acc = 0.6201171875
Batch 7: loss = 1.1452434062957764, acc = 0.63671875
Batch 8: loss = 1.0227434635162354, acc = 0.6640625
Batch 9: loss = 1.0112004280090332, acc = 0.673828125
Batch 10: loss = 0.92193603515625, acc = 0.7001953125
Batch 11: loss = 1.088685154914856, acc = 0.6220703125
Batch 12: loss = 1.09197998046875, acc = 0.64453125
Batch 13: loss = 1.0303940773010254, acc = 0.6591796875
Batch 14: loss = 1.003204107284546, acc = 0.66796875
Batch 15: loss = 0.9745060205459595, acc = 0.6845703125
Batch 16: loss = 1.0892548561096191, acc = 0.640625
Batch 17: loss = 1.0741896629333496, acc = 0.6435546875
Batch 18: loss = 1.089248538017273, acc = 0.63671875
Batch 19: loss = 1.0047101974487305, acc = 0.669921875
Batch 20: loss = 0.9973089098930359, acc = 0.666015625
Batch 21: loss = 1.1455252170562744, acc = 0.6318359375
Batch 22: loss = 0.955144464969635, acc = 0.6806640625
Batch 23: loss = 0.9852821230888367, acc = 0.658203125
Batch 24: loss = 0.9860715866088867, acc = 0.662109375
Batch 25: loss = 0.9331817030906677, acc = 0.6943359375
Batch 26: loss = 0.9556480646133423, acc = 0.6865234375
Batch 27: loss = 1.1002476215362549, acc = 0.6416015625
Batch 28: loss = 1.0367980003356934, acc = 0.6572265625
Batch 29: loss = 1.0433242321014404, acc = 0.673828125
Batch 30: loss = 0.9505951404571533, acc = 0.6923828125
Batch 31: loss = 1.1126292943954468, acc = 0.6435546875
Batch 32: loss = 1.2008569240570068, acc = 0.6005859375
Batch 33: loss = 1.0170629024505615, acc = 0.6494140625
Batch 34: loss = 1.0419223308563232, acc = 0.6416015625
Batch 35: loss = 1.0441179275512695, acc = 0.6669921875
Batch 36: loss = 1.048670768737793, acc = 0.66015625
Batch 37: loss = 1.0299787521362305, acc = 0.662109375
Batch 38: loss = 1.11661958694458, acc = 0.6357421875
Batch 39: loss = 1.054654598236084, acc = 0.6435546875
Batch 40: loss = 1.038071870803833, acc = 0.66796875
Batch 41: loss = 0.9275826811790466, acc = 0.68359375
Batch 42: loss = 0.9661876559257507, acc = 0.6796875
Batch 43: loss = 1.0550557374954224, acc = 0.6416015625
Batch 44: loss = 0.9587092399597168, acc = 0.693359375
Batch 45: loss = 0.8891779184341431, acc = 0.7041015625
Batch 46: loss = 0.9900317192077637, acc = 0.6630859375
Batch 47: loss = 0.9628866314888, acc = 0.673828125
Batch 48: loss = 0.9131074547767639, acc = 0.6953125
Batch 49: loss = 0.870789110660553, acc = 0.7080078125
Batch 50: loss = 0.9402538537979126, acc = 0.693359375
Batch 51: loss = 0.9497859477996826, acc = 0.666015625
Batch 52: loss = 1.0268343687057495, acc = 0.6767578125
Batch 53: loss = 1.047492504119873, acc = 0.64453125
Batch 54: loss = 0.9500231146812439, acc = 0.685546875
Batch 55: loss = 0.9386677742004395, acc = 0.69140625
Batch 56: loss = 0.9730591773986816, acc = 0.6787109375
Batch 57: loss = 1.087005853652954, acc = 0.6376953125
Batch 58: loss = 1.0584176778793335, acc = 0.6494140625
Batch 59: loss = 0.809911847114563, acc = 0.744140625
Batch 60: loss = 1.0253976583480835, acc = 0.6650390625
Batch 61: loss = 1.0637060403823853, acc = 0.66796875
Batch 62: loss = 1.2264182567596436, acc = 0.5732421875
Batch 63: loss = 1.145975947380066, acc = 0.6298828125
Batch 64: loss = 0.881080687046051, acc = 0.7177734375
Batch 65: loss = 1.0302107334136963, acc = 0.6640625
Batch 66: loss = 0.9997632503509521, acc = 0.6728515625
Batch 67: loss = 0.9359227418899536, acc = 0.6962890625
Batch 68: loss = 0.9992367029190063, acc = 0.6787109375
Batch 69: loss = 0.9951393604278564, acc = 0.6669921875
Batch 70: loss = 1.063554048538208, acc = 0.66015625
Batch 71: loss = 0.9725534915924072, acc = 0.673828125
Batch 72: loss = 0.9495546817779541, acc = 0.6923828125
Batch 73: loss = 1.0681482553482056, acc = 0.65234375
Batch 74: loss = 1.0659594535827637, acc = 0.642578125
Batch 75: loss = 1.1369545459747314, acc = 0.62109375
Batch 76: loss = 1.0316879749298096, acc = 0.66015625
Batch 77: loss = 0.9240282773971558, acc = 0.6875
Batch 78: loss = 0.9480721950531006, acc = 0.6875
Batch 79: loss = 0.8079887628555298, acc = 0.7353515625
Batch 80: loss = 0.8873395323753357, acc = 0.701171875
Batch 81: loss = 0.93929123878479, acc = 0.6884765625
Batch 82: loss = 0.8624791502952576, acc = 0.7197265625
Batch 83: loss = 0.9854791164398193, acc = 0.6748046875
Batch 84: loss = 0.978148341178894, acc = 0.6787109375
Batch 85: loss = 1.0496283769607544, acc = 0.650390625
Batch 86: loss = 1.0145230293273926, acc = 0.6650390625
Batch 87: loss = 0.9515384435653687, acc = 0.6787109375
Batch 88: loss = 1.0986096858978271, acc = 0.6591796875
Batch 89: loss = 0.9966111779212952, acc = 0.685546875
Batch 90: loss = 1.0775223970413208, acc = 0.6650390625
Batch 91: loss = 1.0925997495651245, acc = 0.642578125
Batch 92: loss = 0.9712632894515991, acc = 0.671875
Batch 93: loss = 0.8764504194259644, acc = 0.7265625
Batch 94: loss = 0.923487663269043, acc = 0.6943359375
Batch 95: loss = 0.9558261632919312, acc = 0.6728515625
Batch 96: loss = 1.0255886316299438, acc = 0.6591796875
Batch 97: loss = 0.9862596392631531, acc = 0.6787109375
Batch 98: loss = 0.9935330152511597, acc = 0.6875
Batch 99: loss = 1.0079468488693237, acc = 0.669921875
Batch 100: loss = 0.9855828285217285, acc = 0.6689453125
Batch 101: loss = 0.9911866188049316, acc = 0.6806640625
Batch 102: loss = 1.0912214517593384, acc = 0.6416015625
Batch 103: loss = 1.0293785333633423, acc = 0.666015625
Batch 104: loss = 0.9162683486938477, acc = 0.69140625
Batch 105: loss = 0.9650490283966064, acc = 0.6865234375
Batch 106: loss = 1.0344147682189941, acc = 0.6611328125
Batch 107: loss = 0.9701207876205444, acc = 0.67578125
Batch 108: loss = 0.9727965593338013, acc = 0.681640625
Batch 109: loss = 0.9785864353179932, acc = 0.66015625
Batch 110: loss = 0.9213094115257263, acc = 0.6943359375
Batch 111: loss = 1.0973098278045654, acc = 0.66015625
Batch 112: loss = 0.9375473856925964, acc = 0.685546875
Batch 113: loss = 0.9904128909111023, acc = 0.67578125
Batch 114: loss = 1.0608232021331787, acc = 0.6689453125
Batch 115: loss = 1.0603976249694824, acc = 0.65625
Batch 116: loss = 1.1284759044647217, acc = 0.634765625
Batch 117: loss = 0.945098876953125, acc = 0.6923828125
Batch 118: loss = 0.9063466787338257, acc = 0.6884765625
Batch 119: loss = 1.017364501953125, acc = 0.662109375
Batch 120: loss = 1.0350704193115234, acc = 0.6630859375
Batch 121: loss = 0.9536576271057129, acc = 0.6796875
Batch 122: loss = 0.9778105020523071, acc = 0.68359375
Batch 123: loss = 0.9966285228729248, acc = 0.6796875
Batch 124: loss = 1.0438952445983887, acc = 0.6513671875
Batch 125: loss = 1.0432562828063965, acc = 0.6533203125
Batch 126: loss = 1.131305456161499, acc = 0.6533203125

Epoch 17/100
Batch 1: loss = 1.2830135822296143, acc = 0.6240234375
Batch 2: loss = 1.1725441217422485, acc = 0.6328125
Batch 3: loss = 1.039239764213562, acc = 0.669921875
Batch 4: loss = 1.035035490989685, acc = 0.66796875
Batch 5: loss = 1.137506127357483, acc = 0.64453125
Batch 6: loss = 1.1283851861953735, acc = 0.6376953125
Batch 7: loss = 1.112389087677002, acc = 0.630859375
Batch 8: loss = 1.0245321989059448, acc = 0.6640625
Batch 9: loss = 0.9889928698539734, acc = 0.6865234375
Batch 10: loss = 0.908740758895874, acc = 0.71875
Batch 11: loss = 1.0317928791046143, acc = 0.6552734375
Batch 12: loss = 1.045701265335083, acc = 0.65625
Batch 13: loss = 0.9956914186477661, acc = 0.66015625
Batch 14: loss = 0.9548419713973999, acc = 0.68359375
Batch 15: loss = 0.9451189637184143, acc = 0.701171875
Batch 16: loss = 1.0821678638458252, acc = 0.6474609375
Batch 17: loss = 1.0316932201385498, acc = 0.6708984375
Batch 18: loss = 1.0532739162445068, acc = 0.658203125
Batch 19: loss = 0.9843826293945312, acc = 0.689453125
Batch 20: loss = 0.9651577472686768, acc = 0.677734375
Batch 21: loss = 1.1202070713043213, acc = 0.6484375
Batch 22: loss = 0.9237349033355713, acc = 0.6982421875
Batch 23: loss = 0.97655189037323, acc = 0.67578125
Batch 24: loss = 0.9650440812110901, acc = 0.7001953125
Batch 25: loss = 0.9107410907745361, acc = 0.7021484375
Batch 26: loss = 0.9158961176872253, acc = 0.7041015625
Batch 27: loss = 1.0908193588256836, acc = 0.6552734375
Batch 28: loss = 1.0002291202545166, acc = 0.6708984375
Batch 29: loss = 0.9911858439445496, acc = 0.6953125
Batch 30: loss = 0.9064576625823975, acc = 0.6943359375
Batch 31: loss = 1.0696041584014893, acc = 0.650390625
Batch 32: loss = 1.1797082424163818, acc = 0.6103515625
Batch 33: loss = 1.006619930267334, acc = 0.666015625
Batch 34: loss = 1.0227478742599487, acc = 0.66015625
Batch 35: loss = 1.0393202304840088, acc = 0.6611328125
Batch 36: loss = 1.0091023445129395, acc = 0.6943359375
Batch 37: loss = 1.0422163009643555, acc = 0.66015625
Batch 38: loss = 1.0738294124603271, acc = 0.6552734375
Batch 39: loss = 1.0466153621673584, acc = 0.65234375
Batch 40: loss = 0.9903919100761414, acc = 0.6728515625
Batch 41: loss = 0.9247579574584961, acc = 0.6806640625
Batch 42: loss = 0.9523472785949707, acc = 0.6806640625
Batch 43: loss = 1.0084251165390015, acc = 0.6591796875
Batch 44: loss = 0.9371938705444336, acc = 0.6953125
Batch 45: loss = 0.8798291683197021, acc = 0.7080078125
Batch 46: loss = 0.9661903977394104, acc = 0.689453125
Batch 47: loss = 0.9580545425415039, acc = 0.689453125
Batch 48: loss = 0.9101966619491577, acc = 0.69921875
Batch 49: loss = 0.8687790632247925, acc = 0.7275390625
Batch 50: loss = 0.9310714602470398, acc = 0.7021484375
Batch 51: loss = 0.925140380859375, acc = 0.6875
Batch 52: loss = 1.0104598999023438, acc = 0.666015625
Batch 53: loss = 1.01908278465271, acc = 0.6591796875
Batch 54: loss = 0.9244147539138794, acc = 0.701171875
Batch 55: loss = 0.9233880043029785, acc = 0.6962890625
Batch 56: loss = 0.9567862749099731, acc = 0.6806640625
Batch 57: loss = 1.0459051132202148, acc = 0.6484375
Batch 58: loss = 1.0247889757156372, acc = 0.6669921875
Batch 59: loss = 0.7983514070510864, acc = 0.744140625
Batch 60: loss = 0.9875147342681885, acc = 0.6728515625
Batch 61: loss = 1.0203238725662231, acc = 0.6796875
Batch 62: loss = 1.1855010986328125, acc = 0.587890625
Batch 63: loss = 1.120406985282898, acc = 0.646484375
Batch 64: loss = 0.8330424427986145, acc = 0.7294921875
Batch 65: loss = 1.0031301975250244, acc = 0.666015625
Batch 66: loss = 0.9737380743026733, acc = 0.67578125
Batch 67: loss = 0.8952401876449585, acc = 0.6953125
Batch 68: loss = 0.9958959817886353, acc = 0.6787109375
Batch 69: loss = 0.9675552845001221, acc = 0.6748046875
Batch 70: loss = 1.0145041942596436, acc = 0.6708984375
Batch 71: loss = 0.9490233659744263, acc = 0.6845703125
Batch 72: loss = 0.8959478139877319, acc = 0.7001953125
Batch 73: loss = 1.0348583459854126, acc = 0.65234375
Batch 74: loss = 1.045239806175232, acc = 0.6611328125
Batch 75: loss = 1.0853993892669678, acc = 0.6455078125
Batch 76: loss = 1.012428641319275, acc = 0.66015625
Batch 77: loss = 0.9050601124763489, acc = 0.7099609375
Batch 78: loss = 0.9378710389137268, acc = 0.69921875
Batch 79: loss = 0.7895750403404236, acc = 0.7490234375
Batch 80: loss = 0.8633473515510559, acc = 0.7001953125
Batch 81: loss = 0.9397366046905518, acc = 0.6923828125
Batch 82: loss = 0.8306745290756226, acc = 0.7255859375
Batch 83: loss = 0.9720741510391235, acc = 0.6767578125
Batch 84: loss = 0.9147980213165283, acc = 0.7060546875
Batch 85: loss = 1.040496826171875, acc = 0.66796875
Batch 86: loss = 0.9934592247009277, acc = 0.669921875
Batch 87: loss = 0.9091041088104248, acc = 0.708984375
Batch 88: loss = 1.0821658372879028, acc = 0.6591796875
Batch 89: loss = 0.9603925943374634, acc = 0.6904296875
Batch 90: loss = 1.0672482252120972, acc = 0.6533203125
Batch 91: loss = 1.0517452955245972, acc = 0.6513671875
Batch 92: loss = 0.9533327221870422, acc = 0.68359375
Batch 93: loss = 0.861935019493103, acc = 0.720703125
Batch 94: loss = 0.9143197536468506, acc = 0.703125
Batch 95: loss = 0.9280151128768921, acc = 0.6826171875
Batch 96: loss = 0.9900119304656982, acc = 0.6611328125
Batch 97: loss = 0.9462494254112244, acc = 0.6826171875
Batch 98: loss = 0.9661984443664551, acc = 0.685546875
Batch 99: loss = 0.9913270473480225, acc = 0.6650390625
Batch 100: loss = 0.9601515531539917, acc = 0.67578125
Batch 101: loss = 0.9509865045547485, acc = 0.693359375
Batch 102: loss = 1.0517898797988892, acc = 0.6533203125
Batch 103: loss = 1.009879469871521, acc = 0.6728515625
Batch 104: loss = 0.8949154019355774, acc = 0.7080078125
Batch 105: loss = 0.9194313287734985, acc = 0.701171875
Batch 106: loss = 1.0050218105316162, acc = 0.6640625
Batch 107: loss = 0.9516912698745728, acc = 0.689453125
Batch 108: loss = 0.9689092636108398, acc = 0.689453125
Batch 109: loss = 0.9463924169540405, acc = 0.68359375
Batch 110: loss = 0.8820436000823975, acc = 0.6943359375
Batch 111: loss = 1.0557689666748047, acc = 0.6552734375
Batch 112: loss = 0.8928613662719727, acc = 0.7001953125
Batch 113: loss = 0.9854280948638916, acc = 0.6865234375
Batch 114: loss = 1.0163358449935913, acc = 0.685546875
Batch 115: loss = 1.0313282012939453, acc = 0.6728515625
Batch 116: loss = 1.094491720199585, acc = 0.65625
Batch 117: loss = 0.9134209752082825, acc = 0.70703125
Batch 118: loss = 0.867021918296814, acc = 0.7119140625
Batch 119: loss = 0.9715375304222107, acc = 0.6875
Batch 120: loss = 1.0186206102371216, acc = 0.66015625
Batch 121: loss = 0.951875627040863, acc = 0.6826171875
Batch 122: loss = 0.9374083876609802, acc = 0.69921875
Batch 123: loss = 0.984735369682312, acc = 0.67578125
Batch 124: loss = 1.0243464708328247, acc = 0.658203125
Batch 125: loss = 1.0205998420715332, acc = 0.673828125
Batch 126: loss = 1.086875557899475, acc = 0.662109375

Epoch 18/100
Batch 1: loss = 1.2554545402526855, acc = 0.62890625
Batch 2: loss = 1.119551420211792, acc = 0.6513671875
Batch 3: loss = 1.0462770462036133, acc = 0.6689453125
Batch 4: loss = 1.0155718326568604, acc = 0.6806640625
Batch 5: loss = 1.1049003601074219, acc = 0.630859375
Batch 6: loss = 1.1031488180160522, acc = 0.654296875
Batch 7: loss = 1.0787228345870972, acc = 0.6533203125
Batch 8: loss = 0.9722899198532104, acc = 0.68359375
Batch 9: loss = 0.9664481282234192, acc = 0.693359375
Batch 10: loss = 0.8870452642440796, acc = 0.708984375
Batch 11: loss = 1.039048194885254, acc = 0.6630859375
Batch 12: loss = 1.0194242000579834, acc = 0.6640625
Batch 13: loss = 0.9815919995307922, acc = 0.66015625
Batch 14: loss = 0.939402163028717, acc = 0.69921875
Batch 15: loss = 0.9159071445465088, acc = 0.7138671875
Batch 16: loss = 1.0319411754608154, acc = 0.6474609375
Batch 17: loss = 0.9978090524673462, acc = 0.6826171875
Batch 18: loss = 1.0169711112976074, acc = 0.66796875
Batch 19: loss = 0.938115119934082, acc = 0.7109375
Batch 20: loss = 0.940518856048584, acc = 0.685546875
Batch 21: loss = 1.0889085531234741, acc = 0.642578125
Batch 22: loss = 0.9311659336090088, acc = 0.6982421875
Batch 23: loss = 0.9221295118331909, acc = 0.681640625
Batch 24: loss = 0.9268865585327148, acc = 0.6943359375
Batch 25: loss = 0.8819155693054199, acc = 0.7158203125
Batch 26: loss = 0.8700441122055054, acc = 0.71875
Batch 27: loss = 1.0502784252166748, acc = 0.666015625
Batch 28: loss = 0.9660659432411194, acc = 0.689453125
Batch 29: loss = 0.9614802598953247, acc = 0.6982421875
Batch 30: loss = 0.8934525847434998, acc = 0.7109375
Batch 31: loss = 1.0658830404281616, acc = 0.6611328125
Batch 32: loss = 1.1295244693756104, acc = 0.6240234375
Batch 33: loss = 0.9625974297523499, acc = 0.6796875
Batch 34: loss = 1.0114428997039795, acc = 0.6650390625
Batch 35: loss = 0.9697876572608948, acc = 0.6865234375
Batch 36: loss = 0.9807395339012146, acc = 0.681640625
Batch 37: loss = 1.0129497051239014, acc = 0.6748046875
Batch 38: loss = 1.043642520904541, acc = 0.6650390625
Batch 39: loss = 1.0210835933685303, acc = 0.654296875
Batch 40: loss = 0.9748541712760925, acc = 0.6767578125
Batch 41: loss = 0.8948681354522705, acc = 0.6982421875
Batch 42: loss = 0.9265786409378052, acc = 0.685546875
Batch 43: loss = 0.9680023193359375, acc = 0.669921875
Batch 44: loss = 0.9078421592712402, acc = 0.708984375
Batch 45: loss = 0.8471667766571045, acc = 0.71875
Batch 46: loss = 0.9350273013114929, acc = 0.705078125
Batch 47: loss = 0.918924868106842, acc = 0.697265625
Batch 48: loss = 0.8851919174194336, acc = 0.693359375
Batch 49: loss = 0.8244866132736206, acc = 0.7294921875
Batch 50: loss = 0.8940104246139526, acc = 0.73046875
Batch 51: loss = 0.9024842977523804, acc = 0.6875
Batch 52: loss = 0.9618584513664246, acc = 0.6787109375
Batch 53: loss = 0.9937315583229065, acc = 0.6689453125
Batch 54: loss = 0.8928619027137756, acc = 0.7041015625
Batch 55: loss = 0.889541506767273, acc = 0.705078125
Batch 56: loss = 0.9542421102523804, acc = 0.6806640625
Batch 57: loss = 1.0045595169067383, acc = 0.658203125
Batch 58: loss = 1.0083937644958496, acc = 0.673828125
Batch 59: loss = 0.7919918894767761, acc = 0.7451171875
Batch 60: loss = 0.9661684036254883, acc = 0.673828125
Batch 61: loss = 1.001908540725708, acc = 0.6845703125
Batch 62: loss = 1.1558446884155273, acc = 0.5947265625
Batch 63: loss = 1.0798896551132202, acc = 0.6494140625
Batch 64: loss = 0.8085015416145325, acc = 0.736328125
Batch 65: loss = 0.9760198593139648, acc = 0.671875
Batch 66: loss = 0.930827260017395, acc = 0.693359375
Batch 67: loss = 0.8638409376144409, acc = 0.7109375
Batch 68: loss = 0.9651728868484497, acc = 0.6826171875
Batch 69: loss = 0.9335439801216125, acc = 0.705078125
Batch 70: loss = 1.004596471786499, acc = 0.673828125
Batch 71: loss = 0.9198369979858398, acc = 0.69140625
Batch 72: loss = 0.8657368421554565, acc = 0.712890625
Batch 73: loss = 1.0142359733581543, acc = 0.6630859375
Batch 74: loss = 1.0205438137054443, acc = 0.65234375
Batch 75: loss = 1.0820503234863281, acc = 0.642578125
Batch 76: loss = 0.9967060685157776, acc = 0.6669921875
Batch 77: loss = 0.8769761323928833, acc = 0.7216796875
Batch 78: loss = 0.9234837293624878, acc = 0.6982421875
Batch 79: loss = 0.79840087890625, acc = 0.7373046875
Batch 80: loss = 0.8503453135490417, acc = 0.70703125
Batch 81: loss = 0.9032989740371704, acc = 0.7041015625
Batch 82: loss = 0.8201425075531006, acc = 0.7177734375
Batch 83: loss = 0.942438006401062, acc = 0.6845703125
Batch 84: loss = 0.9192124605178833, acc = 0.7001953125
Batch 85: loss = 1.0073535442352295, acc = 0.6640625
Batch 86: loss = 0.938029944896698, acc = 0.6826171875
Batch 87: loss = 0.8997321128845215, acc = 0.7021484375
Batch 88: loss = 1.0578721761703491, acc = 0.6640625
Batch 89: loss = 0.9527862071990967, acc = 0.6904296875
Batch 90: loss = 1.014780044555664, acc = 0.677734375
Batch 91: loss = 1.005298376083374, acc = 0.6669921875
Batch 92: loss = 0.9522783160209656, acc = 0.685546875
Batch 93: loss = 0.8517096042633057, acc = 0.734375
Batch 94: loss = 0.8807482719421387, acc = 0.712890625
Batch 95: loss = 0.900600790977478, acc = 0.6962890625
Batch 96: loss = 0.9774494171142578, acc = 0.6845703125
Batch 97: loss = 0.9025599360466003, acc = 0.7099609375
Batch 98: loss = 0.9238806962966919, acc = 0.7109375
Batch 99: loss = 0.9374078512191772, acc = 0.6884765625
Batch 100: loss = 0.9402039051055908, acc = 0.6806640625
Batch 101: loss = 0.9198752045631409, acc = 0.701171875
Batch 102: loss = 1.0227270126342773, acc = 0.6591796875
Batch 103: loss = 0.9481483697891235, acc = 0.6982421875
Batch 104: loss = 0.8710215091705322, acc = 0.708984375
Batch 105: loss = 0.9166072010993958, acc = 0.6953125
Batch 106: loss = 0.9850239753723145, acc = 0.6826171875
Batch 107: loss = 0.926220178604126, acc = 0.681640625
Batch 108: loss = 0.9304913878440857, acc = 0.6865234375
Batch 109: loss = 0.9272847175598145, acc = 0.677734375
Batch 110: loss = 0.8566442728042603, acc = 0.72265625
Batch 111: loss = 1.018985629081726, acc = 0.6591796875
Batch 112: loss = 0.8654537796974182, acc = 0.705078125
Batch 113: loss = 0.9456334114074707, acc = 0.69140625
Batch 114: loss = 0.9947733879089355, acc = 0.6875
Batch 115: loss = 1.0177050828933716, acc = 0.666015625
Batch 116: loss = 1.0746089220046997, acc = 0.6611328125
Batch 117: loss = 0.8974026441574097, acc = 0.7060546875
Batch 118: loss = 0.8361520171165466, acc = 0.720703125
Batch 119: loss = 0.9534704685211182, acc = 0.69140625
Batch 120: loss = 1.001194953918457, acc = 0.6689453125
Batch 121: loss = 0.9278544187545776, acc = 0.685546875
Batch 122: loss = 0.9536499977111816, acc = 0.6884765625
Batch 123: loss = 0.9612538814544678, acc = 0.69921875
Batch 124: loss = 1.0018589496612549, acc = 0.64453125
Batch 125: loss = 0.9826035499572754, acc = 0.677734375
Batch 126: loss = 1.0585501194000244, acc = 0.66015625

Epoch 19/100
Batch 1: loss = 1.1957619190216064, acc = 0.650390625
Batch 2: loss = 1.1027470827102661, acc = 0.6494140625
Batch 3: loss = 1.008441686630249, acc = 0.673828125
Batch 4: loss = 0.9885746240615845, acc = 0.6884765625
Batch 5: loss = 1.1067488193511963, acc = 0.65234375
Batch 6: loss = 1.0854452848434448, acc = 0.6396484375
Batch 7: loss = 1.047868251800537, acc = 0.662109375
Batch 8: loss = 0.9609309434890747, acc = 0.6865234375
Batch 9: loss = 0.9234265685081482, acc = 0.6923828125
Batch 10: loss = 0.8587331771850586, acc = 0.7275390625
Batch 11: loss = 1.0252256393432617, acc = 0.662109375
Batch 12: loss = 0.9973310232162476, acc = 0.673828125
Batch 13: loss = 0.9449407458305359, acc = 0.693359375
Batch 14: loss = 0.9045416712760925, acc = 0.7109375
Batch 15: loss = 0.905727207660675, acc = 0.7099609375
Batch 16: loss = 1.0035287141799927, acc = 0.6591796875
Batch 17: loss = 0.9972161054611206, acc = 0.685546875
Batch 18: loss = 1.0066503286361694, acc = 0.6728515625
Batch 19: loss = 0.8979302048683167, acc = 0.7177734375
Batch 20: loss = 0.9197114706039429, acc = 0.689453125
Batch 21: loss = 1.032776951789856, acc = 0.67578125
Batch 22: loss = 0.9273802042007446, acc = 0.6962890625
Batch 23: loss = 0.9001476168632507, acc = 0.6943359375
Batch 24: loss = 0.9098222255706787, acc = 0.7158203125
Batch 25: loss = 0.8667356967926025, acc = 0.716796875
Batch 26: loss = 0.8732762932777405, acc = 0.70703125
Batch 27: loss = 1.023510456085205, acc = 0.662109375
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Batch 57: loss = 0.99524986743927, acc = 0.671875
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Batch 68: loss = 0.9177920818328857, acc = 0.6953125
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Batch 70: loss = 1.003877878189087, acc = 0.6796875
Batch 71: loss = 0.9157968759536743, acc = 0.697265625
Batch 72: loss = 0.8555684089660645, acc = 0.724609375
Batch 73: loss = 1.0006742477416992, acc = 0.6630859375
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Batch 77: loss = 0.8509563207626343, acc = 0.716796875
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Batch 85: loss = 0.995202898979187, acc = 0.6787109375
Batch 86: loss = 0.9248754978179932, acc = 0.703125
Batch 87: loss = 0.8922333121299744, acc = 0.7041015625
Batch 88: loss = 1.038926601409912, acc = 0.6611328125
Batch 89: loss = 0.925242006778717, acc = 0.6943359375
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Batch 94: loss = 0.8739917278289795, acc = 0.7099609375
Batch 95: loss = 0.8928818106651306, acc = 0.6982421875
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Batch 97: loss = 0.8953630328178406, acc = 0.71875
Batch 98: loss = 0.8959696292877197, acc = 0.703125
Batch 99: loss = 0.9360193014144897, acc = 0.689453125
Batch 100: loss = 0.9012581706047058, acc = 0.70703125
Batch 101: loss = 0.8985908031463623, acc = 0.708984375
Batch 102: loss = 1.0178618431091309, acc = 0.666015625
Batch 103: loss = 0.9439979791641235, acc = 0.6875
Batch 104: loss = 0.8284958600997925, acc = 0.7109375
Batch 105: loss = 0.8832000494003296, acc = 0.7099609375
Batch 106: loss = 0.96382737159729, acc = 0.6923828125
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Batch 108: loss = 0.9073283672332764, acc = 0.705078125
Batch 109: loss = 0.9127587080001831, acc = 0.705078125
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Batch 112: loss = 0.8696335554122925, acc = 0.71875
Batch 113: loss = 0.9217303991317749, acc = 0.6962890625
Batch 114: loss = 0.9790041446685791, acc = 0.6904296875
Batch 115: loss = 0.9730464220046997, acc = 0.685546875
Batch 116: loss = 1.0481717586517334, acc = 0.65234375
Batch 117: loss = 0.8663272857666016, acc = 0.716796875
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Batch 120: loss = 0.9701895713806152, acc = 0.673828125
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Batch 123: loss = 0.9317218661308289, acc = 0.69921875
Batch 124: loss = 0.9860841035842896, acc = 0.658203125
Batch 125: loss = 0.9747141003608704, acc = 0.6865234375
Batch 126: loss = 1.013115644454956, acc = 0.6796875

Epoch 20/100
Batch 1: loss = 1.1940553188323975, acc = 0.6494140625
Batch 2: loss = 1.0854679346084595, acc = 0.650390625
Batch 3: loss = 0.9643734693527222, acc = 0.693359375
Batch 4: loss = 0.9782962799072266, acc = 0.69140625
Batch 5: loss = 1.0584951639175415, acc = 0.658203125
Batch 6: loss = 1.042153239250183, acc = 0.66796875
Batch 7: loss = 1.018751621246338, acc = 0.65625
Batch 8: loss = 0.9346288442611694, acc = 0.6904296875
Batch 9: loss = 0.9048603177070618, acc = 0.7119140625
Batch 10: loss = 0.8563902378082275, acc = 0.7216796875
Batch 11: loss = 0.9795657396316528, acc = 0.6611328125
Batch 12: loss = 0.9393458366394043, acc = 0.689453125
Batch 13: loss = 0.9386430382728577, acc = 0.6767578125
Batch 14: loss = 0.87263023853302, acc = 0.70703125
Batch 15: loss = 0.8704687356948853, acc = 0.728515625
Batch 16: loss = 0.9708701372146606, acc = 0.6865234375
Batch 17: loss = 0.9588491916656494, acc = 0.6845703125
Batch 18: loss = 0.9564084410667419, acc = 0.685546875
Batch 19: loss = 0.8835486173629761, acc = 0.7216796875
Batch 20: loss = 0.916205108165741, acc = 0.693359375
Batch 21: loss = 1.0381404161453247, acc = 0.6533203125
Batch 22: loss = 0.8925554752349854, acc = 0.70703125
Batch 23: loss = 0.9085320234298706, acc = 0.6875
Batch 24: loss = 0.8928588628768921, acc = 0.69921875
Batch 25: loss = 0.8397864103317261, acc = 0.72265625
Batch 26: loss = 0.8499072790145874, acc = 0.7265625
Batch 27: loss = 1.0011820793151855, acc = 0.6650390625
Batch 28: loss = 0.9167190790176392, acc = 0.6962890625
Batch 29: loss = 0.9331685900688171, acc = 0.693359375
Batch 30: loss = 0.8483089208602905, acc = 0.716796875
Batch 31: loss = 1.0099563598632812, acc = 0.6650390625
Batch 32: loss = 1.0468034744262695, acc = 0.654296875
Batch 33: loss = 0.9033803343772888, acc = 0.69140625
Batch 34: loss = 0.9706462621688843, acc = 0.654296875
Batch 35: loss = 0.9251236915588379, acc = 0.703125
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Batch 37: loss = 0.9460299611091614, acc = 0.6865234375
Batch 38: loss = 0.9830020666122437, acc = 0.6962890625
Batch 39: loss = 0.9648081064224243, acc = 0.66796875
Batch 40: loss = 0.9182395935058594, acc = 0.7001953125
Batch 41: loss = 0.8394291400909424, acc = 0.7236328125
Batch 42: loss = 0.9009336233139038, acc = 0.7001953125
Batch 43: loss = 0.9423888921737671, acc = 0.68359375
Batch 44: loss = 0.8739209175109863, acc = 0.7236328125
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Batch 47: loss = 0.8774013519287109, acc = 0.7060546875
Batch 48: loss = 0.8267108201980591, acc = 0.7275390625
Batch 49: loss = 0.8018329739570618, acc = 0.7412109375
Batch 50: loss = 0.844668984413147, acc = 0.73828125
Batch 51: loss = 0.8586364984512329, acc = 0.7099609375
Batch 52: loss = 0.9394193887710571, acc = 0.6875
Batch 53: loss = 0.940337061882019, acc = 0.689453125
Batch 54: loss = 0.8337528705596924, acc = 0.73046875
Batch 55: loss = 0.8370214104652405, acc = 0.7314453125
Batch 56: loss = 0.8813909292221069, acc = 0.6982421875
Batch 57: loss = 0.9937509298324585, acc = 0.662109375
Batch 58: loss = 0.9565651416778564, acc = 0.681640625
Batch 59: loss = 0.7366150617599487, acc = 0.7607421875
Batch 60: loss = 0.9127295613288879, acc = 0.7060546875
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Batch 62: loss = 1.0821908712387085, acc = 0.6328125
Batch 63: loss = 1.0261523723602295, acc = 0.68359375
Batch 64: loss = 0.7876836061477661, acc = 0.7412109375
Batch 65: loss = 0.9497957229614258, acc = 0.69140625
Batch 66: loss = 0.8967190980911255, acc = 0.6923828125
Batch 67: loss = 0.8117628693580627, acc = 0.7294921875
Batch 68: loss = 0.9336692094802856, acc = 0.69140625
Batch 69: loss = 0.8950884938240051, acc = 0.7099609375
Batch 70: loss = 0.9753322601318359, acc = 0.671875
Batch 71: loss = 0.9016039371490479, acc = 0.693359375
Batch 72: loss = 0.8443785309791565, acc = 0.7265625
Batch 73: loss = 0.9754432439804077, acc = 0.669921875
Batch 74: loss = 0.9711834192276001, acc = 0.6787109375
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Batch 78: loss = 0.86281418800354, acc = 0.7177734375
Batch 79: loss = 0.7638739347457886, acc = 0.74609375
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Batch 83: loss = 0.8983297944068909, acc = 0.69921875
Batch 84: loss = 0.8669898509979248, acc = 0.7177734375
Batch 85: loss = 0.9737528562545776, acc = 0.685546875
Batch 86: loss = 0.9352678060531616, acc = 0.689453125
Batch 87: loss = 0.8674181699752808, acc = 0.712890625
Batch 88: loss = 1.0093352794647217, acc = 0.6728515625
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Batch 90: loss = 0.9675294160842896, acc = 0.6884765625
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Batch 93: loss = 0.786576509475708, acc = 0.73828125
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Batch 95: loss = 0.8704360723495483, acc = 0.7109375
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Batch 98: loss = 0.8771560192108154, acc = 0.7099609375
Batch 99: loss = 0.8935068249702454, acc = 0.7138671875
Batch 100: loss = 0.9043265581130981, acc = 0.7021484375
Batch 101: loss = 0.8715354204177856, acc = 0.7099609375
Batch 102: loss = 0.959916889667511, acc = 0.66796875
Batch 103: loss = 0.9171299338340759, acc = 0.6962890625
Batch 104: loss = 0.8303530216217041, acc = 0.7294921875
Batch 105: loss = 0.8681197166442871, acc = 0.71875
Batch 106: loss = 0.956392228603363, acc = 0.68359375
Batch 107: loss = 0.8795754909515381, acc = 0.7177734375
Batch 108: loss = 0.9075688719749451, acc = 0.69921875
Batch 109: loss = 0.8593877553939819, acc = 0.70703125
Batch 110: loss = 0.823121190071106, acc = 0.7216796875
Batch 111: loss = 0.9697489738464355, acc = 0.6923828125
Batch 112: loss = 0.8522595167160034, acc = 0.7177734375
Batch 113: loss = 0.90695720911026, acc = 0.7080078125
Batch 114: loss = 0.9596689939498901, acc = 0.70703125
Batch 115: loss = 0.9479312300682068, acc = 0.6806640625
Batch 116: loss = 1.0260658264160156, acc = 0.6748046875
Batch 117: loss = 0.8606224060058594, acc = 0.728515625
Batch 118: loss = 0.8115355372428894, acc = 0.72265625
Batch 119: loss = 0.9104457497596741, acc = 0.71484375
Batch 120: loss = 0.9417397379875183, acc = 0.685546875
Batch 121: loss = 0.8953176736831665, acc = 0.69921875
Batch 122: loss = 0.8758610486984253, acc = 0.7177734375
Batch 123: loss = 0.9049203395843506, acc = 0.69921875
Batch 124: loss = 0.9558286666870117, acc = 0.6806640625
Batch 125: loss = 0.9528019428253174, acc = 0.6904296875
Batch 126: loss = 0.9675068855285645, acc = 0.6923828125
Saved checkpoint to weights.20.h5

Epoch 21/100
Batch 1: loss = 1.1751741170883179, acc = 0.650390625
Batch 2: loss = 1.0721756219863892, acc = 0.6533203125
Batch 3: loss = 0.9637809991836548, acc = 0.6962890625
Batch 4: loss = 0.9528775215148926, acc = 0.6982421875
Batch 5: loss = 1.04523766040802, acc = 0.671875
Batch 6: loss = 1.033858299255371, acc = 0.6640625
Batch 7: loss = 1.000786542892456, acc = 0.6748046875
Batch 8: loss = 0.9231457710266113, acc = 0.7265625
Batch 9: loss = 0.882949709892273, acc = 0.712890625
Batch 10: loss = 0.826747477054596, acc = 0.7255859375
Batch 11: loss = 0.9437428712844849, acc = 0.6806640625
Batch 12: loss = 0.9361262917518616, acc = 0.6865234375
Batch 13: loss = 0.9028560519218445, acc = 0.6982421875
Batch 14: loss = 0.8626571893692017, acc = 0.7197265625
Batch 15: loss = 0.8432227373123169, acc = 0.734375
Batch 16: loss = 0.975105345249176, acc = 0.6806640625
Batch 17: loss = 0.8980900049209595, acc = 0.7265625
Batch 18: loss = 0.9462060332298279, acc = 0.6884765625
Batch 19: loss = 0.8611498475074768, acc = 0.7353515625
Batch 20: loss = 0.892634928226471, acc = 0.7080078125
Batch 21: loss = 0.9913389682769775, acc = 0.669921875
Batch 22: loss = 0.8614661693572998, acc = 0.7158203125
Batch 23: loss = 0.8731173276901245, acc = 0.6943359375
Batch 24: loss = 0.8621706366539001, acc = 0.705078125
Batch 25: loss = 0.8385604619979858, acc = 0.724609375
Batch 26: loss = 0.8150702714920044, acc = 0.751953125
Batch 27: loss = 0.9670332670211792, acc = 0.703125
Batch 28: loss = 0.90049809217453, acc = 0.716796875
Batch 29: loss = 0.9011727571487427, acc = 0.7119140625
Batch 30: loss = 0.8289595246315002, acc = 0.7216796875
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Batch 32: loss = 1.0479493141174316, acc = 0.6474609375
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Batch 43: loss = 0.9040929079055786, acc = 0.6962890625
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Batch 79: loss = 0.7358903884887695, acc = 0.7529296875
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Batch 84: loss = 0.8581392765045166, acc = 0.7177734375
Batch 85: loss = 0.9776136875152588, acc = 0.6982421875
Batch 86: loss = 0.9008452892303467, acc = 0.7001953125
Batch 87: loss = 0.8408440351486206, acc = 0.720703125
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Batch 98: loss = 0.8500229120254517, acc = 0.7294921875
Batch 99: loss = 0.895153820514679, acc = 0.70703125
Batch 100: loss = 0.8729258179664612, acc = 0.6953125
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Batch 103: loss = 0.9015045166015625, acc = 0.6943359375
Batch 104: loss = 0.8199577331542969, acc = 0.7216796875
Batch 105: loss = 0.8763212561607361, acc = 0.7197265625
Batch 106: loss = 0.9219735860824585, acc = 0.6943359375
Batch 107: loss = 0.8502681255340576, acc = 0.7177734375
Batch 108: loss = 0.8689765930175781, acc = 0.708984375
Batch 109: loss = 0.8615299463272095, acc = 0.7216796875
Batch 110: loss = 0.7919334173202515, acc = 0.734375
Batch 111: loss = 0.9614064693450928, acc = 0.6826171875
Batch 112: loss = 0.843937337398529, acc = 0.7109375
Batch 113: loss = 0.9152809381484985, acc = 0.7060546875
Batch 114: loss = 0.9429318308830261, acc = 0.705078125
Batch 115: loss = 0.9211976528167725, acc = 0.693359375
Batch 116: loss = 0.9913346767425537, acc = 0.677734375
Batch 117: loss = 0.8276928663253784, acc = 0.7314453125
Batch 118: loss = 0.7855998277664185, acc = 0.7470703125
Batch 119: loss = 0.8926239013671875, acc = 0.71484375
Batch 120: loss = 0.914132297039032, acc = 0.6923828125
Batch 121: loss = 0.8464560508728027, acc = 0.71875
Batch 122: loss = 0.8658387660980225, acc = 0.724609375
Batch 123: loss = 0.8966479301452637, acc = 0.705078125
Batch 124: loss = 0.927191972732544, acc = 0.677734375
Batch 125: loss = 0.9452483654022217, acc = 0.6884765625
Batch 126: loss = 0.9722661972045898, acc = 0.669921875

Epoch 22/100
Batch 1: loss = 1.1401231288909912, acc = 0.669921875
Batch 2: loss = 1.0527698993682861, acc = 0.6484375
Batch 3: loss = 0.9125315546989441, acc = 0.708984375
Batch 4: loss = 0.933151364326477, acc = 0.6982421875
Batch 5: loss = 0.9981443881988525, acc = 0.671875
Batch 6: loss = 1.0209579467773438, acc = 0.6708984375
Batch 7: loss = 0.9719154238700867, acc = 0.6787109375
Batch 8: loss = 0.8892719149589539, acc = 0.701171875
Batch 9: loss = 0.8567585349082947, acc = 0.7197265625
Batch 10: loss = 0.794082760810852, acc = 0.7548828125
Batch 11: loss = 0.9247875213623047, acc = 0.7001953125
Batch 12: loss = 0.9263889193534851, acc = 0.6943359375
Batch 13: loss = 0.8721190690994263, acc = 0.703125
Batch 14: loss = 0.8340713381767273, acc = 0.7353515625
Batch 15: loss = 0.823291540145874, acc = 0.7265625
Batch 16: loss = 0.9260607957839966, acc = 0.703125
Batch 17: loss = 0.9057602882385254, acc = 0.724609375
Batch 18: loss = 0.9042801856994629, acc = 0.7021484375
Batch 19: loss = 0.8460996150970459, acc = 0.7138671875
Batch 20: loss = 0.8580211400985718, acc = 0.7158203125
Batch 21: loss = 1.0046446323394775, acc = 0.6845703125
Batch 22: loss = 0.8415659666061401, acc = 0.716796875
Batch 23: loss = 0.8593164086341858, acc = 0.7099609375
Batch 24: loss = 0.8473769426345825, acc = 0.716796875
Batch 25: loss = 0.8104271292686462, acc = 0.7255859375
Batch 26: loss = 0.7801403403282166, acc = 0.7490234375
Batch 27: loss = 0.9566737413406372, acc = 0.7001953125
Batch 28: loss = 0.8704602718353271, acc = 0.7177734375
Batch 29: loss = 0.8617914915084839, acc = 0.7294921875
Batch 30: loss = 0.793790340423584, acc = 0.7294921875
Batch 31: loss = 0.9429528713226318, acc = 0.697265625
Batch 32: loss = 1.028298020362854, acc = 0.6669921875
Batch 33: loss = 0.8476231098175049, acc = 0.7080078125
Batch 34: loss = 0.8955062627792358, acc = 0.6953125
Batch 35: loss = 0.8784379959106445, acc = 0.7216796875
Batch 36: loss = 0.8750434517860413, acc = 0.7294921875
Batch 37: loss = 0.8715915083885193, acc = 0.7109375
Batch 38: loss = 0.9518903493881226, acc = 0.69140625
Batch 39: loss = 0.9018049240112305, acc = 0.6865234375
Batch 40: loss = 0.8824502229690552, acc = 0.70703125
Batch 41: loss = 0.8081358671188354, acc = 0.724609375
Batch 42: loss = 0.8376335501670837, acc = 0.7197265625
Batch 43: loss = 0.885887622833252, acc = 0.7021484375
Batch 44: loss = 0.8090789318084717, acc = 0.732421875
Batch 45: loss = 0.7412478923797607, acc = 0.7548828125
Batch 46: loss = 0.8313275575637817, acc = 0.7255859375
Batch 47: loss = 0.8280842304229736, acc = 0.734375
Batch 48: loss = 0.8128006458282471, acc = 0.73046875
Batch 49: loss = 0.7737097144126892, acc = 0.748046875
Batch 50: loss = 0.8211202621459961, acc = 0.7431640625
Batch 51: loss = 0.7869346141815186, acc = 0.73046875
Batch 52: loss = 0.8792098760604858, acc = 0.72265625
Batch 53: loss = 0.8793740272521973, acc = 0.7138671875
Batch 54: loss = 0.7653921842575073, acc = 0.7373046875
Batch 55: loss = 0.7789477705955505, acc = 0.7373046875
Batch 56: loss = 0.883383572101593, acc = 0.7001953125
Batch 57: loss = 0.9360202550888062, acc = 0.7001953125
Batch 58: loss = 0.927047610282898, acc = 0.6943359375
Batch 59: loss = 0.7113005518913269, acc = 0.7783203125
Batch 60: loss = 0.8655611872673035, acc = 0.7060546875
Batch 61: loss = 0.8536445498466492, acc = 0.724609375
Batch 62: loss = 1.0495301485061646, acc = 0.650390625
Batch 63: loss = 0.9543835520744324, acc = 0.6806640625
Batch 64: loss = 0.7451007962226868, acc = 0.7509765625
Batch 65: loss = 0.8921070694923401, acc = 0.708984375
Batch 66: loss = 0.8783430457115173, acc = 0.7138671875
Batch 67: loss = 0.7716562151908875, acc = 0.736328125
Batch 68: loss = 0.8660287857055664, acc = 0.7060546875
Batch 69: loss = 0.8364510536193848, acc = 0.7197265625
Batch 70: loss = 0.9388881921768188, acc = 0.6923828125
Batch 71: loss = 0.851349949836731, acc = 0.7099609375
Batch 72: loss = 0.7964684963226318, acc = 0.73046875
Batch 73: loss = 0.924618124961853, acc = 0.6884765625
Batch 74: loss = 0.9225617051124573, acc = 0.69921875
Batch 75: loss = 0.9932767748832703, acc = 0.6787109375
Batch 76: loss = 0.9085649251937866, acc = 0.7060546875
Batch 77: loss = 0.8127294182777405, acc = 0.73046875
Batch 78: loss = 0.8127314448356628, acc = 0.7216796875
Batch 79: loss = 0.7253291606903076, acc = 0.76171875
Batch 80: loss = 0.7704511880874634, acc = 0.7255859375
Batch 81: loss = 0.8222806453704834, acc = 0.72265625
Batch 82: loss = 0.737686276435852, acc = 0.7568359375
Batch 83: loss = 0.8571579456329346, acc = 0.7158203125
Batch 84: loss = 0.8616905212402344, acc = 0.7138671875
Batch 85: loss = 0.9278496503829956, acc = 0.6923828125
Batch 86: loss = 0.8564680814743042, acc = 0.7138671875
Batch 87: loss = 0.8216211795806885, acc = 0.728515625
Batch 88: loss = 1.0010067224502563, acc = 0.68359375
Batch 89: loss = 0.8701826333999634, acc = 0.7138671875
Batch 90: loss = 0.911193311214447, acc = 0.71484375
Batch 91: loss = 0.9288660287857056, acc = 0.6904296875
Batch 92: loss = 0.8673239946365356, acc = 0.7197265625
Batch 93: loss = 0.7509400844573975, acc = 0.7578125
Batch 94: loss = 0.7822662591934204, acc = 0.75
Batch 95: loss = 0.8341808319091797, acc = 0.7099609375
Batch 96: loss = 0.9105278253555298, acc = 0.6982421875
Batch 97: loss = 0.8401312828063965, acc = 0.7373046875
Batch 98: loss = 0.8261784315109253, acc = 0.734375
Batch 99: loss = 0.861933708190918, acc = 0.708984375
Batch 100: loss = 0.8612284660339355, acc = 0.705078125
Batch 101: loss = 0.844322919845581, acc = 0.724609375
Batch 102: loss = 0.9301127791404724, acc = 0.6904296875
Batch 103: loss = 0.8908450603485107, acc = 0.708984375
Batch 104: loss = 0.7814077138900757, acc = 0.7353515625
Batch 105: loss = 0.8319026231765747, acc = 0.7158203125
Batch 106: loss = 0.8883569240570068, acc = 0.71484375
Batch 107: loss = 0.8363945484161377, acc = 0.7236328125
Batch 108: loss = 0.8729670643806458, acc = 0.705078125
Batch 109: loss = 0.823271632194519, acc = 0.72265625
Batch 110: loss = 0.784126341342926, acc = 0.734375
Batch 111: loss = 0.9411227107048035, acc = 0.685546875
Batch 112: loss = 0.8428157567977905, acc = 0.7177734375
Batch 113: loss = 0.8864740133285522, acc = 0.7138671875
Batch 114: loss = 0.908355712890625, acc = 0.7099609375
Batch 115: loss = 0.9253366589546204, acc = 0.7060546875
Batch 116: loss = 0.9685772657394409, acc = 0.69140625
Batch 117: loss = 0.8058708310127258, acc = 0.736328125
Batch 118: loss = 0.7774404287338257, acc = 0.7392578125
Batch 119: loss = 0.8780174255371094, acc = 0.7265625
Batch 120: loss = 0.8948580622673035, acc = 0.6982421875
Batch 121: loss = 0.8381035327911377, acc = 0.708984375
Batch 122: loss = 0.815564751625061, acc = 0.744140625
Batch 123: loss = 0.8731542229652405, acc = 0.7236328125
Batch 124: loss = 0.9223923087120056, acc = 0.68359375
Batch 125: loss = 0.9157158136367798, acc = 0.703125
Batch 126: loss = 0.9487957954406738, acc = 0.69140625

Epoch 23/100
Batch 1: loss = 1.1153357028961182, acc = 0.6708984375
Batch 2: loss = 1.0135043859481812, acc = 0.673828125
Batch 3: loss = 0.9297102689743042, acc = 0.697265625
Batch 4: loss = 0.9007176160812378, acc = 0.71875
Batch 5: loss = 0.9850641489028931, acc = 0.6845703125
Batch 6: loss = 1.005087971687317, acc = 0.6728515625
Batch 7: loss = 0.9343713521957397, acc = 0.703125
Batch 8: loss = 0.8671365976333618, acc = 0.7060546875
Batch 9: loss = 0.8444827198982239, acc = 0.7275390625
Batch 10: loss = 0.7830208539962769, acc = 0.7431640625
Batch 11: loss = 0.8997364044189453, acc = 0.693359375
Batch 12: loss = 0.8821401596069336, acc = 0.7138671875
Batch 13: loss = 0.8698638677597046, acc = 0.7099609375
Batch 14: loss = 0.7913230061531067, acc = 0.7431640625
Batch 15: loss = 0.8226186037063599, acc = 0.7412109375
Batch 16: loss = 0.9310616850852966, acc = 0.693359375
Batch 17: loss = 0.8741457462310791, acc = 0.7275390625
Batch 18: loss = 0.8867403268814087, acc = 0.71484375
Batch 19: loss = 0.832672119140625, acc = 0.734375
Batch 20: loss = 0.8299111127853394, acc = 0.7197265625
Batch 21: loss = 0.9557999968528748, acc = 0.693359375
Batch 22: loss = 0.8134104013442993, acc = 0.7412109375
Batch 23: loss = 0.8297429084777832, acc = 0.7158203125
Batch 24: loss = 0.8119077682495117, acc = 0.732421875
Batch 25: loss = 0.7673861980438232, acc = 0.7470703125
Batch 26: loss = 0.7725052833557129, acc = 0.7529296875
Batch 27: loss = 0.9267297983169556, acc = 0.685546875
Batch 28: loss = 0.871933102607727, acc = 0.7158203125
Batch 29: loss = 0.8711483478546143, acc = 0.7138671875
Batch 30: loss = 0.7717502117156982, acc = 0.736328125
Batch 31: loss = 0.9510060548782349, acc = 0.68359375
Batch 32: loss = 0.987917959690094, acc = 0.66796875
Batch 33: loss = 0.8064955472946167, acc = 0.724609375
Batch 34: loss = 0.8860445022583008, acc = 0.7001953125
Batch 35: loss = 0.8541254997253418, acc = 0.7314453125
Batch 36: loss = 0.8399658799171448, acc = 0.7353515625
Batch 37: loss = 0.8595852851867676, acc = 0.7138671875
Batch 38: loss = 0.9125595092773438, acc = 0.703125
Batch 39: loss = 0.888107419013977, acc = 0.6943359375
Batch 40: loss = 0.8658969402313232, acc = 0.7041015625
Batch 41: loss = 0.762179434299469, acc = 0.7490234375
Batch 42: loss = 0.807772159576416, acc = 0.734375
Batch 43: loss = 0.8490042686462402, acc = 0.701171875
Batch 44: loss = 0.7860864996910095, acc = 0.7529296875
Batch 45: loss = 0.7224287986755371, acc = 0.7646484375
Batch 46: loss = 0.7965564727783203, acc = 0.751953125
Batch 47: loss = 0.8150817155838013, acc = 0.7236328125
Batch 48: loss = 0.7856714725494385, acc = 0.736328125
Batch 49: loss = 0.729619562625885, acc = 0.75
Batch 50: loss = 0.7964339256286621, acc = 0.75
Batch 51: loss = 0.7894657850265503, acc = 0.720703125
Batch 52: loss = 0.8559780716896057, acc = 0.7109375
Batch 53: loss = 0.8660129904747009, acc = 0.72265625
Batch 54: loss = 0.7641770839691162, acc = 0.7568359375
Batch 55: loss = 0.7687479257583618, acc = 0.74609375
Batch 56: loss = 0.8505146503448486, acc = 0.7138671875
Batch 57: loss = 0.9154582023620605, acc = 0.6943359375
Batch 58: loss = 0.8858449459075928, acc = 0.708984375
Batch 59: loss = 0.7059794664382935, acc = 0.7744140625
Batch 60: loss = 0.8544805645942688, acc = 0.705078125
Batch 61: loss = 0.8249229192733765, acc = 0.7255859375
Batch 62: loss = 1.030683159828186, acc = 0.6630859375
Batch 63: loss = 0.9525154232978821, acc = 0.6875
Batch 64: loss = 0.7215548753738403, acc = 0.7705078125
Batch 65: loss = 0.8606294393539429, acc = 0.72265625
Batch 66: loss = 0.8374717235565186, acc = 0.7216796875
Batch 67: loss = 0.757310152053833, acc = 0.740234375
Batch 68: loss = 0.8590220212936401, acc = 0.7138671875
Batch 69: loss = 0.7909097671508789, acc = 0.7470703125
Batch 70: loss = 0.9080042839050293, acc = 0.7021484375
Batch 71: loss = 0.8316249847412109, acc = 0.7099609375
Batch 72: loss = 0.7806693315505981, acc = 0.7421875
Batch 73: loss = 0.8773732781410217, acc = 0.7177734375
Batch 74: loss = 0.8988311290740967, acc = 0.7041015625
Batch 75: loss = 0.9550537467002869, acc = 0.6806640625
Batch 76: loss = 0.8483120799064636, acc = 0.7265625
Batch 77: loss = 0.794479250907898, acc = 0.75
Batch 78: loss = 0.8038181066513062, acc = 0.734375
Batch 79: loss = 0.7028321027755737, acc = 0.7734375
Batch 80: loss = 0.7413274645805359, acc = 0.73828125
Batch 81: loss = 0.8016418218612671, acc = 0.7373046875
Batch 82: loss = 0.7180691957473755, acc = 0.759765625
Batch 83: loss = 0.8473576307296753, acc = 0.7099609375
Batch 84: loss = 0.8006926774978638, acc = 0.7373046875
Batch 85: loss = 0.902885913848877, acc = 0.6923828125
Batch 86: loss = 0.86347496509552, acc = 0.71484375
Batch 87: loss = 0.7991307377815247, acc = 0.73046875
Batch 88: loss = 0.9678693413734436, acc = 0.685546875
Batch 89: loss = 0.8097506761550903, acc = 0.7470703125
Batch 90: loss = 0.8891614675521851, acc = 0.7099609375
Batch 91: loss = 0.8944370746612549, acc = 0.7119140625
Batch 92: loss = 0.8577394485473633, acc = 0.72265625
Batch 93: loss = 0.7213535904884338, acc = 0.7666015625
Batch 94: loss = 0.7657032012939453, acc = 0.7451171875
Batch 95: loss = 0.8054904341697693, acc = 0.7294921875
Batch 96: loss = 0.9048792123794556, acc = 0.693359375
Batch 97: loss = 0.8071936368942261, acc = 0.7451171875
Batch 98: loss = 0.8198262453079224, acc = 0.734375
Batch 99: loss = 0.8297038674354553, acc = 0.728515625
Batch 100: loss = 0.8490973711013794, acc = 0.69921875
Batch 101: loss = 0.8238628506660461, acc = 0.736328125
Batch 102: loss = 0.8747537136077881, acc = 0.7216796875
Batch 103: loss = 0.868107795715332, acc = 0.712890625
Batch 104: loss = 0.7814557552337646, acc = 0.7421875
Batch 105: loss = 0.8084046840667725, acc = 0.7431640625
Batch 106: loss = 0.8670769929885864, acc = 0.7119140625
Batch 107: loss = 0.8157710433006287, acc = 0.71875
Batch 108: loss = 0.8455294370651245, acc = 0.7119140625
Batch 109: loss = 0.8220577239990234, acc = 0.7158203125
Batch 110: loss = 0.7615188360214233, acc = 0.74609375
Batch 111: loss = 0.9391268491744995, acc = 0.7001953125
Batch 112: loss = 0.8368468284606934, acc = 0.7216796875
Batch 113: loss = 0.8693569302558899, acc = 0.71875
Batch 114: loss = 0.8946863412857056, acc = 0.72265625
Batch 115: loss = 0.8977407813072205, acc = 0.70703125
Batch 116: loss = 0.9631741642951965, acc = 0.6904296875
Batch 117: loss = 0.7757682800292969, acc = 0.7353515625
Batch 118: loss = 0.7669146060943604, acc = 0.7490234375
Batch 119: loss = 0.8600318431854248, acc = 0.7236328125
Batch 120: loss = 0.8434308767318726, acc = 0.73046875
Batch 121: loss = 0.8111687898635864, acc = 0.736328125
Batch 122: loss = 0.807666540145874, acc = 0.73828125
Batch 123: loss = 0.8398650884628296, acc = 0.7265625
Batch 124: loss = 0.8879681825637817, acc = 0.7099609375
Batch 125: loss = 0.8853225708007812, acc = 0.69921875
Batch 126: loss = 0.9039802551269531, acc = 0.7119140625

Epoch 24/100
Batch 1: loss = 1.0830461978912354, acc = 0.671875
Batch 2: loss = 0.9896734356880188, acc = 0.66796875
Batch 3: loss = 0.85945725440979, acc = 0.7314453125
Batch 4: loss = 0.8721455335617065, acc = 0.7197265625
Batch 5: loss = 0.9444528818130493, acc = 0.6923828125
Batch 6: loss = 0.9719492197036743, acc = 0.6787109375
Batch 7: loss = 0.9323352575302124, acc = 0.7041015625
Batch 8: loss = 0.8515482544898987, acc = 0.705078125
Batch 9: loss = 0.8084920644760132, acc = 0.7216796875
Batch 10: loss = 0.7703382968902588, acc = 0.7431640625
Batch 11: loss = 0.8976660966873169, acc = 0.7119140625
Batch 12: loss = 0.8636298775672913, acc = 0.732421875
Batch 13: loss = 0.8415691256523132, acc = 0.7158203125
Batch 14: loss = 0.8194088935852051, acc = 0.7353515625
Batch 15: loss = 0.7783814072608948, acc = 0.7509765625
Batch 16: loss = 0.9031076431274414, acc = 0.7080078125
Batch 17: loss = 0.8949593901634216, acc = 0.7255859375
Batch 18: loss = 0.8583064675331116, acc = 0.72265625
Batch 19: loss = 0.8158936500549316, acc = 0.7451171875
Batch 20: loss = 0.836565375328064, acc = 0.7138671875
Batch 21: loss = 0.9439294338226318, acc = 0.6884765625
Batch 22: loss = 0.7943738698959351, acc = 0.7421875
Batch 23: loss = 0.8305314779281616, acc = 0.7255859375
Batch 24: loss = 0.7888830900192261, acc = 0.740234375
Batch 25: loss = 0.7699747085571289, acc = 0.7509765625
Batch 26: loss = 0.7524862885475159, acc = 0.7587890625
Batch 27: loss = 0.9184441566467285, acc = 0.705078125
Batch 28: loss = 0.8480163812637329, acc = 0.7265625
Batch 29: loss = 0.8321006298065186, acc = 0.734375
Batch 30: loss = 0.750648021697998, acc = 0.7568359375
Batch 31: loss = 0.9320362210273743, acc = 0.697265625
Batch 32: loss = 0.9707081317901611, acc = 0.67578125
Batch 33: loss = 0.8128621578216553, acc = 0.728515625
Batch 34: loss = 0.832069993019104, acc = 0.732421875
Batch 35: loss = 0.8444241881370544, acc = 0.728515625
Batch 36: loss = 0.8109296560287476, acc = 0.7529296875
Batch 37: loss = 0.8460513353347778, acc = 0.73046875
Batch 38: loss = 0.8971549272537231, acc = 0.71484375
Batch 39: loss = 0.8620482683181763, acc = 0.708984375
Batch 40: loss = 0.8300898671150208, acc = 0.73828125
Batch 41: loss = 0.7543525099754333, acc = 0.7529296875
Batch 42: loss = 0.8047838807106018, acc = 0.7216796875
Batch 43: loss = 0.8203394412994385, acc = 0.7109375
Batch 44: loss = 0.7411421537399292, acc = 0.7734375
Batch 45: loss = 0.7156690955162048, acc = 0.7685546875
Batch 46: loss = 0.7680228352546692, acc = 0.75390625
Batch 47: loss = 0.7935875654220581, acc = 0.740234375
Batch 48: loss = 0.7612522840499878, acc = 0.7490234375
Batch 49: loss = 0.7386333346366882, acc = 0.755859375
Batch 50: loss = 0.7577117681503296, acc = 0.7509765625
Batch 51: loss = 0.7824239730834961, acc = 0.7373046875
Batch 52: loss = 0.8512657880783081, acc = 0.7353515625
Batch 53: loss = 0.8600517511367798, acc = 0.7109375
Batch 54: loss = 0.7367446422576904, acc = 0.7568359375
Batch 55: loss = 0.7522042989730835, acc = 0.7587890625
Batch 56: loss = 0.8310275077819824, acc = 0.70703125
Batch 57: loss = 0.8821085691452026, acc = 0.7216796875
Batch 58: loss = 0.860393226146698, acc = 0.720703125
Batch 59: loss = 0.6671929955482483, acc = 0.78515625
Batch 60: loss = 0.8299374580383301, acc = 0.7158203125
Batch 61: loss = 0.8240373730659485, acc = 0.73046875
Batch 62: loss = 0.9924523234367371, acc = 0.65625
Batch 63: loss = 0.9028977155685425, acc = 0.7109375
Batch 64: loss = 0.7194395065307617, acc = 0.7626953125
Batch 65: loss = 0.8518381118774414, acc = 0.7177734375
Batch 66: loss = 0.8262152671813965, acc = 0.724609375
Batch 67: loss = 0.7483958005905151, acc = 0.74609375
Batch 68: loss = 0.8393350839614868, acc = 0.7275390625
Batch 69: loss = 0.7926218509674072, acc = 0.7431640625
Batch 70: loss = 0.8890583515167236, acc = 0.712890625
Batch 71: loss = 0.8099588751792908, acc = 0.7314453125
Batch 72: loss = 0.7578878402709961, acc = 0.74609375
Batch 73: loss = 0.8784036040306091, acc = 0.7216796875
Batch 74: loss = 0.8564267158508301, acc = 0.716796875
Batch 75: loss = 0.9461928606033325, acc = 0.6845703125
Batch 76: loss = 0.8848260045051575, acc = 0.70703125
Batch 77: loss = 0.7636668682098389, acc = 0.751953125
Batch 78: loss = 0.8013636469841003, acc = 0.728515625
Batch 79: loss = 0.6921948194503784, acc = 0.7734375
Batch 80: loss = 0.7309499979019165, acc = 0.7421875
Batch 81: loss = 0.791372537612915, acc = 0.7353515625
Batch 82: loss = 0.7210054397583008, acc = 0.751953125
Batch 83: loss = 0.7941573858261108, acc = 0.72265625
Batch 84: loss = 0.8169450163841248, acc = 0.7255859375
Batch 85: loss = 0.9437072277069092, acc = 0.677734375
Batch 86: loss = 0.8289417028427124, acc = 0.7333984375
Batch 87: loss = 0.79564368724823, acc = 0.7421875
Batch 88: loss = 0.9393381476402283, acc = 0.68359375
Batch 89: loss = 0.7954888939857483, acc = 0.7421875
Batch 90: loss = 0.8647581338882446, acc = 0.716796875
Batch 91: loss = 0.8478007316589355, acc = 0.7197265625
Batch 92: loss = 0.836441159248352, acc = 0.728515625
Batch 93: loss = 0.7062091827392578, acc = 0.7744140625
Batch 94: loss = 0.7437044978141785, acc = 0.7529296875
Batch 95: loss = 0.8252190351486206, acc = 0.7236328125
Batch 96: loss = 0.8600881099700928, acc = 0.71484375
Batch 97: loss = 0.7669368982315063, acc = 0.7470703125
Batch 98: loss = 0.8015787601470947, acc = 0.748046875
Batch 99: loss = 0.8159525394439697, acc = 0.734375
Batch 100: loss = 0.8347669839859009, acc = 0.7255859375
Batch 101: loss = 0.8058427572250366, acc = 0.744140625
Batch 102: loss = 0.8688741326332092, acc = 0.716796875
Batch 103: loss = 0.8331881165504456, acc = 0.71875
Batch 104: loss = 0.7515770196914673, acc = 0.7509765625
Batch 105: loss = 0.7849926948547363, acc = 0.736328125
Batch 106: loss = 0.8571927547454834, acc = 0.716796875
Batch 107: loss = 0.7888482213020325, acc = 0.7353515625
Batch 108: loss = 0.8167831897735596, acc = 0.7109375
Batch 109: loss = 0.7875504493713379, acc = 0.7333984375
Batch 110: loss = 0.7462363243103027, acc = 0.76171875
Batch 111: loss = 0.8956475853919983, acc = 0.7001953125
Batch 112: loss = 0.7909609079360962, acc = 0.736328125
Batch 113: loss = 0.8459767699241638, acc = 0.7333984375
Batch 114: loss = 0.8918565511703491, acc = 0.708984375
Batch 115: loss = 0.8754186630249023, acc = 0.724609375
Batch 116: loss = 0.9278717041015625, acc = 0.703125
Batch 117: loss = 0.7828546762466431, acc = 0.7529296875
Batch 118: loss = 0.7353297472000122, acc = 0.76171875
Batch 119: loss = 0.8231067061424255, acc = 0.7236328125
Batch 120: loss = 0.8265930414199829, acc = 0.7294921875
Batch 121: loss = 0.8264117240905762, acc = 0.7216796875
Batch 122: loss = 0.7670283317565918, acc = 0.748046875
Batch 123: loss = 0.819705069065094, acc = 0.7158203125
Batch 124: loss = 0.8684453964233398, acc = 0.7001953125
Batch 125: loss = 0.8463072180747986, acc = 0.71875
Batch 126: loss = 0.876973032951355, acc = 0.7216796875

Epoch 25/100
Batch 1: loss = 1.0512622594833374, acc = 0.6708984375
Batch 2: loss = 0.9726847410202026, acc = 0.6806640625
Batch 3: loss = 0.8453500270843506, acc = 0.7431640625
Batch 4: loss = 0.8269065022468567, acc = 0.7431640625
Batch 5: loss = 0.929681658744812, acc = 0.697265625
Batch 6: loss = 0.9423068165779114, acc = 0.6826171875
Batch 7: loss = 0.8959598541259766, acc = 0.7099609375
Batch 8: loss = 0.8199061155319214, acc = 0.724609375
Batch 9: loss = 0.769471287727356, acc = 0.7529296875
Batch 10: loss = 0.7388603091239929, acc = 0.75
Batch 11: loss = 0.8509612083435059, acc = 0.7138671875
Batch 12: loss = 0.8457979559898376, acc = 0.7119140625
Batch 13: loss = 0.7986959218978882, acc = 0.72265625
Batch 14: loss = 0.7956278920173645, acc = 0.7412109375
Batch 15: loss = 0.7877292633056641, acc = 0.7470703125
Batch 16: loss = 0.8650220632553101, acc = 0.7216796875
Batch 17: loss = 0.8583104610443115, acc = 0.736328125
Batch 18: loss = 0.841281533241272, acc = 0.73046875
Batch 19: loss = 0.7827156186103821, acc = 0.759765625
Batch 20: loss = 0.8233357667922974, acc = 0.7255859375
Batch 21: loss = 0.8892125487327576, acc = 0.6982421875
Batch 22: loss = 0.7853235006332397, acc = 0.7392578125
Batch 23: loss = 0.7865180373191833, acc = 0.7216796875
Batch 24: loss = 0.7857426404953003, acc = 0.74609375
Batch 25: loss = 0.7534749507904053, acc = 0.75390625
Batch 26: loss = 0.7312334179878235, acc = 0.7568359375
Batch 27: loss = 0.8996742367744446, acc = 0.6962890625
Batch 28: loss = 0.8091803789138794, acc = 0.7353515625
Batch 29: loss = 0.8216871023178101, acc = 0.7373046875
Batch 30: loss = 0.7404085397720337, acc = 0.74609375
Batch 31: loss = 0.8965947031974792, acc = 0.71875
Batch 32: loss = 0.9470982551574707, acc = 0.681640625
Batch 33: loss = 0.8166107535362244, acc = 0.7275390625
Batch 34: loss = 0.8073650598526001, acc = 0.716796875
Batch 35: loss = 0.8119627833366394, acc = 0.73828125
Batch 36: loss = 0.8018633127212524, acc = 0.7421875
Batch 37: loss = 0.7946793437004089, acc = 0.744140625
Batch 38: loss = 0.853252112865448, acc = 0.7275390625
Batch 39: loss = 0.8306900858879089, acc = 0.71484375
Batch 40: loss = 0.8072192668914795, acc = 0.736328125
Batch 41: loss = 0.746848464012146, acc = 0.7451171875
Batch 42: loss = 0.7413330078125, acc = 0.755859375
Batch 43: loss = 0.7915513515472412, acc = 0.7412109375
Batch 44: loss = 0.7297365665435791, acc = 0.763671875
Batch 45: loss = 0.7231965065002441, acc = 0.7734375
Batch 46: loss = 0.8002104759216309, acc = 0.734375
Batch 47: loss = 0.7975530624389648, acc = 0.744140625
Batch 48: loss = 0.7590065002441406, acc = 0.740234375
Batch 49: loss = 0.7074308395385742, acc = 0.7607421875
Batch 50: loss = 0.7477731704711914, acc = 0.7646484375
Batch 51: loss = 0.7446842193603516, acc = 0.75
Batch 52: loss = 0.8250131607055664, acc = 0.736328125
Batch 53: loss = 0.8361147046089172, acc = 0.7109375
Batch 54: loss = 0.6982287168502808, acc = 0.771484375
Batch 55: loss = 0.7298510670661926, acc = 0.7548828125
Batch 56: loss = 0.8284530639648438, acc = 0.7158203125
Batch 57: loss = 0.9011711478233337, acc = 0.705078125
Batch 58: loss = 0.8749351501464844, acc = 0.71484375
Batch 59: loss = 0.6632140874862671, acc = 0.783203125
Batch 60: loss = 0.8138793706893921, acc = 0.7197265625
Batch 61: loss = 0.8034693002700806, acc = 0.751953125
Batch 62: loss = 0.9648375511169434, acc = 0.662109375
Batch 63: loss = 0.8758084774017334, acc = 0.7119140625
Batch 64: loss = 0.7023637294769287, acc = 0.76171875
Batch 65: loss = 0.8211184144020081, acc = 0.736328125
Batch 66: loss = 0.787602961063385, acc = 0.7421875
Batch 67: loss = 0.7054027318954468, acc = 0.7666015625
Batch 68: loss = 0.8333688974380493, acc = 0.73046875
Batch 69: loss = 0.7588509321212769, acc = 0.736328125
Batch 70: loss = 0.8858097791671753, acc = 0.6962890625
Batch 71: loss = 0.79343581199646, acc = 0.73046875
Batch 72: loss = 0.7283394932746887, acc = 0.7626953125
Batch 73: loss = 0.8790434002876282, acc = 0.7197265625
Batch 74: loss = 0.8643258213996887, acc = 0.7119140625
Batch 75: loss = 0.931973934173584, acc = 0.6884765625
Batch 76: loss = 0.864035964012146, acc = 0.72265625
Batch 77: loss = 0.7555546760559082, acc = 0.7548828125
Batch 78: loss = 0.7729583978652954, acc = 0.7451171875
Batch 79: loss = 0.6634876728057861, acc = 0.783203125
Batch 80: loss = 0.7277388572692871, acc = 0.748046875
Batch 81: loss = 0.7754017114639282, acc = 0.7509765625
Batch 82: loss = 0.6944218873977661, acc = 0.765625
Batch 83: loss = 0.7744466662406921, acc = 0.7412109375
Batch 84: loss = 0.7684429883956909, acc = 0.7353515625
Batch 85: loss = 0.899218738079071, acc = 0.69921875
Batch 86: loss = 0.8170647621154785, acc = 0.732421875
Batch 87: loss = 0.7840628623962402, acc = 0.74609375
Batch 88: loss = 0.9063065648078918, acc = 0.7158203125
Batch 89: loss = 0.784011960029602, acc = 0.7412109375
Batch 90: loss = 0.8677440285682678, acc = 0.7158203125
Batch 91: loss = 0.8600708246231079, acc = 0.7158203125
Batch 92: loss = 0.8152586221694946, acc = 0.73828125
Batch 93: loss = 0.6824041604995728, acc = 0.7841796875
Batch 94: loss = 0.731087327003479, acc = 0.7470703125
Batch 95: loss = 0.7765562534332275, acc = 0.7490234375
Batch 96: loss = 0.818077802658081, acc = 0.7333984375
Batch 97: loss = 0.7672914266586304, acc = 0.75390625
Batch 98: loss = 0.7761212587356567, acc = 0.759765625
Batch 99: loss = 0.7910923361778259, acc = 0.748046875
Batch 100: loss = 0.8137792348861694, acc = 0.732421875
Batch 101: loss = 0.7771692276000977, acc = 0.736328125
Batch 102: loss = 0.8490132093429565, acc = 0.7265625
Batch 103: loss = 0.8138411045074463, acc = 0.7236328125
Batch 104: loss = 0.7243895530700684, acc = 0.75390625
Batch 105: loss = 0.7631626725196838, acc = 0.7646484375
Batch 106: loss = 0.8551502227783203, acc = 0.732421875
Batch 107: loss = 0.7713149785995483, acc = 0.7431640625
Batch 108: loss = 0.787002444267273, acc = 0.7265625
Batch 109: loss = 0.8034342527389526, acc = 0.728515625
Batch 110: loss = 0.7043032050132751, acc = 0.765625
Batch 111: loss = 0.8573287725448608, acc = 0.73046875
Batch 112: loss = 0.7727081775665283, acc = 0.7509765625
Batch 113: loss = 0.8180575966835022, acc = 0.740234375
Batch 114: loss = 0.8494154214859009, acc = 0.7373046875
Batch 115: loss = 0.8381363749504089, acc = 0.73046875
Batch 116: loss = 0.9066647291183472, acc = 0.7109375
Batch 117: loss = 0.7353579998016357, acc = 0.7705078125
Batch 118: loss = 0.7142891883850098, acc = 0.76171875
Batch 119: loss = 0.8235803842544556, acc = 0.728515625
Batch 120: loss = 0.8091263175010681, acc = 0.7353515625
Batch 121: loss = 0.793635368347168, acc = 0.74609375
Batch 122: loss = 0.7686295509338379, acc = 0.759765625
Batch 123: loss = 0.7953388094902039, acc = 0.7353515625
Batch 124: loss = 0.8630346059799194, acc = 0.7041015625
Batch 125: loss = 0.8523706793785095, acc = 0.72265625
Batch 126: loss = 0.8684927225112915, acc = 0.7314453125

Epoch 26/100
Batch 1: loss = 1.0322500467300415, acc = 0.703125
Batch 2: loss = 0.9643362164497375, acc = 0.689453125
Batch 3: loss = 0.8408716917037964, acc = 0.7333984375
Batch 4: loss = 0.8471511602401733, acc = 0.7373046875
Batch 5: loss = 0.9014430046081543, acc = 0.693359375
Batch 6: loss = 0.9170017242431641, acc = 0.6884765625
Batch 7: loss = 0.8524596691131592, acc = 0.73046875
Batch 8: loss = 0.8102846741676331, acc = 0.7373046875
Batch 9: loss = 0.7466347217559814, acc = 0.7578125
Batch 10: loss = 0.7244224548339844, acc = 0.755859375
Batch 11: loss = 0.8368453979492188, acc = 0.7255859375
Batch 12: loss = 0.8399267196655273, acc = 0.7080078125
Batch 13: loss = 0.7917267680168152, acc = 0.7265625
Batch 14: loss = 0.7707922458648682, acc = 0.73046875
Batch 15: loss = 0.750853419303894, acc = 0.767578125
Batch 16: loss = 0.8470444679260254, acc = 0.7236328125
Batch 17: loss = 0.8222593069076538, acc = 0.7490234375
Batch 18: loss = 0.8346126079559326, acc = 0.73828125
Batch 19: loss = 0.7599968910217285, acc = 0.75
Batch 20: loss = 0.7792848348617554, acc = 0.7421875
Batch 21: loss = 0.8937165141105652, acc = 0.701171875
Batch 22: loss = 0.7305840849876404, acc = 0.76171875
Batch 23: loss = 0.7626553773880005, acc = 0.73046875
Batch 24: loss = 0.7490532994270325, acc = 0.75
Batch 25: loss = 0.7279268503189087, acc = 0.755859375
Batch 26: loss = 0.7245853543281555, acc = 0.763671875
Batch 27: loss = 0.8705108761787415, acc = 0.71484375
Batch 28: loss = 0.7687472105026245, acc = 0.7333984375
Batch 29: loss = 0.7919795513153076, acc = 0.7431640625
Batch 30: loss = 0.7382645010948181, acc = 0.7626953125
Batch 31: loss = 0.8542675375938416, acc = 0.7138671875
Batch 32: loss = 0.9095183610916138, acc = 0.6923828125
Batch 33: loss = 0.7436432838439941, acc = 0.748046875
Batch 34: loss = 0.8183006048202515, acc = 0.7236328125
Batch 35: loss = 0.8072152137756348, acc = 0.7353515625
Batch 36: loss = 0.7779163718223572, acc = 0.7470703125
Batch 37: loss = 0.7571251392364502, acc = 0.7705078125
Batch 38: loss = 0.8431569337844849, acc = 0.7294921875
Batch 39: loss = 0.8064146637916565, acc = 0.7333984375
Batch 40: loss = 0.7805001735687256, acc = 0.7568359375
Batch 41: loss = 0.7266359329223633, acc = 0.755859375
Batch 42: loss = 0.7332333326339722, acc = 0.748046875
Batch 43: loss = 0.8237252831459045, acc = 0.716796875
Batch 44: loss = 0.6953784227371216, acc = 0.76953125
Batch 45: loss = 0.6813734769821167, acc = 0.7724609375
Batch 46: loss = 0.7396349310874939, acc = 0.7509765625
Batch 47: loss = 0.7437574863433838, acc = 0.7734375
Batch 48: loss = 0.7381798624992371, acc = 0.751953125
Batch 49: loss = 0.6766406893730164, acc = 0.78515625
Batch 50: loss = 0.7295065522193909, acc = 0.765625
Batch 51: loss = 0.7172284722328186, acc = 0.7578125
Batch 52: loss = 0.804023265838623, acc = 0.7294921875
Batch 53: loss = 0.8160392045974731, acc = 0.7275390625
Batch 54: loss = 0.6780910491943359, acc = 0.7841796875
Batch 55: loss = 0.7021646499633789, acc = 0.767578125
Batch 56: loss = 0.7876021862030029, acc = 0.73828125
Batch 57: loss = 0.8409534096717834, acc = 0.712890625
Batch 58: loss = 0.835959792137146, acc = 0.720703125
Batch 59: loss = 0.6440309286117554, acc = 0.7861328125
Batch 60: loss = 0.7998643517494202, acc = 0.7294921875
Batch 61: loss = 0.7538211345672607, acc = 0.7568359375
Batch 62: loss = 0.9432608485221863, acc = 0.6748046875
Batch 63: loss = 0.871148943901062, acc = 0.7119140625
Batch 64: loss = 0.678056001663208, acc = 0.783203125
Batch 65: loss = 0.8345298767089844, acc = 0.7314453125
Batch 66: loss = 0.7785549759864807, acc = 0.7412109375
Batch 67: loss = 0.7135864496231079, acc = 0.76171875
Batch 68: loss = 0.816479504108429, acc = 0.734375
Batch 69: loss = 0.7235348224639893, acc = 0.75390625
Batch 70: loss = 0.8530529737472534, acc = 0.720703125
Batch 71: loss = 0.7753171920776367, acc = 0.751953125
Batch 72: loss = 0.7200244665145874, acc = 0.7578125
Batch 73: loss = 0.820261538028717, acc = 0.7294921875
Batch 74: loss = 0.8548325896263123, acc = 0.7158203125
Batch 75: loss = 0.9258627891540527, acc = 0.697265625
Batch 76: loss = 0.8263177871704102, acc = 0.7138671875
Batch 77: loss = 0.7526304721832275, acc = 0.7578125
Batch 78: loss = 0.7422705292701721, acc = 0.7607421875
Batch 79: loss = 0.663990318775177, acc = 0.7646484375
Batch 80: loss = 0.688437283039093, acc = 0.759765625
Batch 81: loss = 0.732872486114502, acc = 0.751953125
Batch 82: loss = 0.6607542037963867, acc = 0.7841796875
Batch 83: loss = 0.7705101370811462, acc = 0.7373046875
Batch 84: loss = 0.7502768039703369, acc = 0.7451171875
Batch 85: loss = 0.8670973777770996, acc = 0.7060546875
Batch 86: loss = 0.8005650639533997, acc = 0.732421875
Batch 87: loss = 0.7585173845291138, acc = 0.7421875
Batch 88: loss = 0.8871549963951111, acc = 0.7041015625
Batch 89: loss = 0.7745451927185059, acc = 0.7509765625
Batch 90: loss = 0.8031682372093201, acc = 0.751953125
Batch 91: loss = 0.8337926864624023, acc = 0.734375
Batch 92: loss = 0.7861157655715942, acc = 0.7451171875
Batch 93: loss = 0.6806573867797852, acc = 0.7744140625
Batch 94: loss = 0.684475302696228, acc = 0.7783203125
Batch 95: loss = 0.7658424973487854, acc = 0.740234375
Batch 96: loss = 0.8063021898269653, acc = 0.732421875
Batch 97: loss = 0.7779807448387146, acc = 0.7470703125
Batch 98: loss = 0.7572355270385742, acc = 0.765625
Batch 99: loss = 0.7985836863517761, acc = 0.7265625
Batch 100: loss = 0.8013150095939636, acc = 0.7275390625
Batch 101: loss = 0.7640183568000793, acc = 0.7353515625
Batch 102: loss = 0.8301197290420532, acc = 0.724609375
Batch 103: loss = 0.7856405973434448, acc = 0.73046875
Batch 104: loss = 0.70850670337677, acc = 0.7685546875
Batch 105: loss = 0.7395907044410706, acc = 0.7509765625
Batch 106: loss = 0.8093609809875488, acc = 0.73046875
Batch 107: loss = 0.7345066070556641, acc = 0.755859375
Batch 108: loss = 0.7825576066970825, acc = 0.73046875
Batch 109: loss = 0.7925059795379639, acc = 0.744140625
Batch 110: loss = 0.6978089809417725, acc = 0.7685546875
Batch 111: loss = 0.8470875024795532, acc = 0.728515625
Batch 112: loss = 0.7821225523948669, acc = 0.751953125
Batch 113: loss = 0.815631628036499, acc = 0.7294921875
Batch 114: loss = 0.829210102558136, acc = 0.75390625
Batch 115: loss = 0.8357722759246826, acc = 0.724609375
Batch 116: loss = 0.8891817331314087, acc = 0.7177734375
Batch 117: loss = 0.7201455235481262, acc = 0.75390625
Batch 118: loss = 0.6797073483467102, acc = 0.7685546875
Batch 119: loss = 0.7891852855682373, acc = 0.7451171875
Batch 120: loss = 0.8046348094940186, acc = 0.716796875
Batch 121: loss = 0.7649229764938354, acc = 0.7421875
Batch 122: loss = 0.7288872003555298, acc = 0.76953125
Batch 123: loss = 0.7803570628166199, acc = 0.73828125
Batch 124: loss = 0.8438495397567749, acc = 0.7080078125
Batch 125: loss = 0.829940676689148, acc = 0.7373046875
Batch 126: loss = 0.8426192998886108, acc = 0.7353515625

Epoch 27/100
Batch 1: loss = 0.9814320802688599, acc = 0.7177734375
Batch 2: loss = 0.9335533380508423, acc = 0.6953125
Batch 3: loss = 0.8338130712509155, acc = 0.7314453125
Batch 4: loss = 0.79985511302948, acc = 0.7421875
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Batch 6: loss = 0.8848932385444641, acc = 0.701171875
Batch 7: loss = 0.8520148992538452, acc = 0.7255859375
Batch 8: loss = 0.7984566688537598, acc = 0.732421875
Batch 9: loss = 0.7360739707946777, acc = 0.7470703125
Batch 10: loss = 0.70804762840271, acc = 0.7685546875
Batch 11: loss = 0.8207474946975708, acc = 0.720703125
Batch 12: loss = 0.7909500002861023, acc = 0.732421875
Batch 13: loss = 0.7580232620239258, acc = 0.748046875
Batch 14: loss = 0.7363940477371216, acc = 0.7529296875
Batch 15: loss = 0.7335806488990784, acc = 0.76953125
Batch 16: loss = 0.8380285501480103, acc = 0.712890625
Batch 17: loss = 0.8078665733337402, acc = 0.748046875
Batch 18: loss = 0.8138644695281982, acc = 0.732421875
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Batch 20: loss = 0.7614247798919678, acc = 0.7431640625
Batch 21: loss = 0.8519249558448792, acc = 0.720703125
Batch 22: loss = 0.7349790334701538, acc = 0.7626953125
Batch 23: loss = 0.7456812262535095, acc = 0.732421875
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Batch 25: loss = 0.7141513824462891, acc = 0.7802734375
Batch 26: loss = 0.7057167291641235, acc = 0.7724609375
Batch 27: loss = 0.8589271306991577, acc = 0.7080078125
Batch 28: loss = 0.7898770570755005, acc = 0.73828125
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Batch 30: loss = 0.7118483781814575, acc = 0.7607421875
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Batch 38: loss = 0.8211191892623901, acc = 0.732421875
Batch 39: loss = 0.8191646337509155, acc = 0.7236328125
Batch 40: loss = 0.7449423670768738, acc = 0.7431640625
Batch 41: loss = 0.7073104381561279, acc = 0.763671875
Batch 42: loss = 0.7315964102745056, acc = 0.759765625
Batch 43: loss = 0.7535802125930786, acc = 0.7568359375
Batch 44: loss = 0.7120934724807739, acc = 0.771484375
Batch 45: loss = 0.663858950138092, acc = 0.78515625
Batch 46: loss = 0.7130980491638184, acc = 0.763671875
Batch 47: loss = 0.7351139783859253, acc = 0.76171875
Batch 48: loss = 0.700568675994873, acc = 0.759765625
Batch 49: loss = 0.6611120700836182, acc = 0.7734375
Batch 50: loss = 0.7294057607650757, acc = 0.7587890625
Batch 51: loss = 0.6772831678390503, acc = 0.7646484375
Batch 52: loss = 0.7852914929389954, acc = 0.7509765625
Batch 53: loss = 0.7707914710044861, acc = 0.75390625
Batch 54: loss = 0.6736285090446472, acc = 0.779296875
Batch 55: loss = 0.6837276220321655, acc = 0.7783203125
Batch 56: loss = 0.7581714391708374, acc = 0.7265625
Batch 57: loss = 0.8274694681167603, acc = 0.7216796875
Batch 58: loss = 0.8112831115722656, acc = 0.732421875
Batch 59: loss = 0.6300576329231262, acc = 0.7880859375
Batch 60: loss = 0.758823037147522, acc = 0.7294921875
Batch 61: loss = 0.7535507082939148, acc = 0.767578125
Batch 62: loss = 0.9264492392539978, acc = 0.685546875
Batch 63: loss = 0.838775634765625, acc = 0.7197265625
Batch 64: loss = 0.6675797700881958, acc = 0.7900390625
Batch 65: loss = 0.8145806193351746, acc = 0.736328125
Batch 66: loss = 0.7398021221160889, acc = 0.7509765625
Batch 67: loss = 0.6951372027397156, acc = 0.765625
Batch 68: loss = 0.7772231101989746, acc = 0.7548828125
Batch 69: loss = 0.7397297620773315, acc = 0.759765625
Batch 70: loss = 0.8311165571212769, acc = 0.7138671875
Batch 71: loss = 0.7826021909713745, acc = 0.728515625
Batch 72: loss = 0.70357745885849, acc = 0.76171875
Batch 73: loss = 0.8220856189727783, acc = 0.728515625
Batch 74: loss = 0.8349698781967163, acc = 0.716796875
Batch 75: loss = 0.894539475440979, acc = 0.69921875
Batch 76: loss = 0.8286560773849487, acc = 0.7373046875
Batch 77: loss = 0.7316599488258362, acc = 0.763671875
Batch 78: loss = 0.7458646297454834, acc = 0.7705078125
Batch 79: loss = 0.6569106578826904, acc = 0.7880859375
Batch 80: loss = 0.6901143789291382, acc = 0.7548828125
Batch 81: loss = 0.7345083951950073, acc = 0.755859375
Batch 82: loss = 0.653864860534668, acc = 0.7744140625
Batch 83: loss = 0.7581579685211182, acc = 0.7421875
Batch 84: loss = 0.7399225831031799, acc = 0.7587890625
Batch 85: loss = 0.8386729955673218, acc = 0.7294921875
Batch 86: loss = 0.7948949933052063, acc = 0.732421875
Batch 87: loss = 0.7301534414291382, acc = 0.7568359375
Batch 88: loss = 0.8917031288146973, acc = 0.70703125
Batch 89: loss = 0.7305445671081543, acc = 0.7587890625
Batch 90: loss = 0.8191473484039307, acc = 0.751953125
Batch 91: loss = 0.8097037672996521, acc = 0.724609375
Batch 92: loss = 0.7966465950012207, acc = 0.7333984375
Batch 93: loss = 0.6382546424865723, acc = 0.8017578125
Batch 94: loss = 0.6860240697860718, acc = 0.771484375
Batch 95: loss = 0.7397609353065491, acc = 0.7783203125
Batch 96: loss = 0.8008875846862793, acc = 0.7265625
Batch 97: loss = 0.717551052570343, acc = 0.7685546875
Batch 98: loss = 0.7316688895225525, acc = 0.763671875
Batch 99: loss = 0.7648543119430542, acc = 0.74609375
Batch 100: loss = 0.790017306804657, acc = 0.7333984375
Batch 101: loss = 0.7517880797386169, acc = 0.74609375
Batch 102: loss = 0.7738332748413086, acc = 0.7431640625
Batch 103: loss = 0.74906325340271, acc = 0.7431640625
Batch 104: loss = 0.6952887773513794, acc = 0.7578125
Batch 105: loss = 0.7231988310813904, acc = 0.76171875
Batch 106: loss = 0.7728856205940247, acc = 0.7451171875
Batch 107: loss = 0.7501100301742554, acc = 0.7529296875
Batch 108: loss = 0.7546321153640747, acc = 0.7353515625
Batch 109: loss = 0.7536443471908569, acc = 0.7470703125
Batch 110: loss = 0.6710958480834961, acc = 0.767578125
Batch 111: loss = 0.8218333721160889, acc = 0.7294921875
Batch 112: loss = 0.7235440015792847, acc = 0.7578125
Batch 113: loss = 0.7792847156524658, acc = 0.7509765625
Batch 114: loss = 0.7759624719619751, acc = 0.751953125
Batch 115: loss = 0.7770736217498779, acc = 0.74609375
Batch 116: loss = 0.8525989055633545, acc = 0.7353515625
Batch 117: loss = 0.6838375926017761, acc = 0.775390625
Batch 118: loss = 0.6642971634864807, acc = 0.77734375
Batch 119: loss = 0.7669106125831604, acc = 0.759765625
Batch 120: loss = 0.7737786173820496, acc = 0.7392578125
Batch 121: loss = 0.7317500710487366, acc = 0.7578125
Batch 122: loss = 0.7171131372451782, acc = 0.76171875
Batch 123: loss = 0.7522812485694885, acc = 0.7451171875
Batch 124: loss = 0.7710344791412354, acc = 0.734375
Batch 125: loss = 0.8047281503677368, acc = 0.734375
Batch 126: loss = 0.8126603364944458, acc = 0.732421875

Epoch 28/100
Batch 1: loss = 0.9679726362228394, acc = 0.7099609375
Batch 2: loss = 0.9018588662147522, acc = 0.7177734375
Batch 3: loss = 0.7913796901702881, acc = 0.7353515625
Batch 4: loss = 0.7775812149047852, acc = 0.75
Batch 5: loss = 0.8500231504440308, acc = 0.736328125
Batch 6: loss = 0.8596794605255127, acc = 0.6962890625
Batch 7: loss = 0.798489511013031, acc = 0.7470703125
Batch 8: loss = 0.7539671659469604, acc = 0.75390625
Batch 9: loss = 0.7146426439285278, acc = 0.7412109375
Batch 10: loss = 0.6479879021644592, acc = 0.7744140625
Batch 11: loss = 0.7796941995620728, acc = 0.74609375
Batch 12: loss = 0.7816348671913147, acc = 0.74609375
Batch 13: loss = 0.7534536123275757, acc = 0.7529296875
Batch 14: loss = 0.737995982170105, acc = 0.7529296875
Batch 15: loss = 0.7134722471237183, acc = 0.7734375
Batch 16: loss = 0.7962158918380737, acc = 0.7392578125
Batch 17: loss = 0.7855832576751709, acc = 0.751953125
Batch 18: loss = 0.7939106225967407, acc = 0.748046875
Batch 19: loss = 0.7173880338668823, acc = 0.765625
Batch 20: loss = 0.7435810565948486, acc = 0.7548828125
Batch 21: loss = 0.8231006860733032, acc = 0.720703125
Batch 22: loss = 0.7372686266899109, acc = 0.74609375
Batch 23: loss = 0.7401166558265686, acc = 0.740234375
Batch 24: loss = 0.6930630207061768, acc = 0.7626953125
Batch 25: loss = 0.700588583946228, acc = 0.7666015625
Batch 26: loss = 0.6893446445465088, acc = 0.7529296875
Batch 27: loss = 0.8537771701812744, acc = 0.7236328125
Batch 28: loss = 0.7752559185028076, acc = 0.7294921875
Batch 29: loss = 0.7751564979553223, acc = 0.75390625
Batch 30: loss = 0.6955644488334656, acc = 0.751953125
Batch 31: loss = 0.8248393535614014, acc = 0.7177734375
Batch 32: loss = 0.8676514625549316, acc = 0.72265625
Batch 33: loss = 0.7096002697944641, acc = 0.759765625
Batch 34: loss = 0.7517801523208618, acc = 0.73828125
Batch 35: loss = 0.7260686159133911, acc = 0.76171875
Batch 36: loss = 0.7299566864967346, acc = 0.7734375
Batch 37: loss = 0.707453727722168, acc = 0.7734375
Batch 38: loss = 0.7629184722900391, acc = 0.76171875
Batch 39: loss = 0.7811516523361206, acc = 0.734375
Batch 40: loss = 0.7713257074356079, acc = 0.7607421875
Batch 41: loss = 0.6835635900497437, acc = 0.7626953125
Batch 42: loss = 0.7148030996322632, acc = 0.755859375
Batch 43: loss = 0.748126745223999, acc = 0.7421875
Batch 44: loss = 0.6913371086120605, acc = 0.7734375
Batch 45: loss = 0.6373310685157776, acc = 0.7978515625
Batch 46: loss = 0.701026201248169, acc = 0.7705078125
Batch 47: loss = 0.7329445481300354, acc = 0.7568359375
Batch 48: loss = 0.6989307403564453, acc = 0.7548828125
Batch 49: loss = 0.6562680006027222, acc = 0.794921875
Batch 50: loss = 0.6937671899795532, acc = 0.775390625
Batch 51: loss = 0.6794083118438721, acc = 0.7626953125
Batch 52: loss = 0.7693674564361572, acc = 0.748046875
Batch 53: loss = 0.7731463313102722, acc = 0.7421875
Batch 54: loss = 0.6423313617706299, acc = 0.7978515625
Batch 55: loss = 0.6400423049926758, acc = 0.798828125
Batch 56: loss = 0.7368733882904053, acc = 0.73828125
Batch 57: loss = 0.8083617091178894, acc = 0.73046875
Batch 58: loss = 0.8019184470176697, acc = 0.7255859375
Batch 59: loss = 0.6163458228111267, acc = 0.79296875
Batch 60: loss = 0.7418421506881714, acc = 0.73828125
Batch 61: loss = 0.730897068977356, acc = 0.767578125
Batch 62: loss = 0.9178838729858398, acc = 0.6923828125
Batch 63: loss = 0.8122875690460205, acc = 0.736328125
Batch 64: loss = 0.650414228439331, acc = 0.7919921875
Batch 65: loss = 0.7849496006965637, acc = 0.7431640625
Batch 66: loss = 0.7525047659873962, acc = 0.7490234375
Batch 67: loss = 0.6735279560089111, acc = 0.765625
Batch 68: loss = 0.7575991749763489, acc = 0.748046875
Batch 69: loss = 0.6939771771430969, acc = 0.76171875
Batch 70: loss = 0.8056797981262207, acc = 0.7314453125
Batch 71: loss = 0.7650864720344543, acc = 0.744140625
Batch 72: loss = 0.72298663854599, acc = 0.7607421875
Batch 73: loss = 0.8032593727111816, acc = 0.7451171875
Batch 74: loss = 0.8104047775268555, acc = 0.72265625
Batch 75: loss = 0.8905437588691711, acc = 0.7041015625
Batch 76: loss = 0.8045339584350586, acc = 0.7255859375
Batch 77: loss = 0.6945183277130127, acc = 0.775390625
Batch 78: loss = 0.7463188767433167, acc = 0.7568359375
Batch 79: loss = 0.6359385848045349, acc = 0.7880859375
Batch 80: loss = 0.6674529910087585, acc = 0.767578125
Batch 81: loss = 0.7396042943000793, acc = 0.763671875
Batch 82: loss = 0.6474248170852661, acc = 0.7890625
Batch 83: loss = 0.7087264060974121, acc = 0.7509765625
Batch 84: loss = 0.7309023141860962, acc = 0.7666015625
Batch 85: loss = 0.8094578981399536, acc = 0.728515625
Batch 86: loss = 0.7653847932815552, acc = 0.7509765625
Batch 87: loss = 0.7155367136001587, acc = 0.7607421875
Batch 88: loss = 0.8554549217224121, acc = 0.716796875
Batch 89: loss = 0.7589030861854553, acc = 0.755859375
Batch 90: loss = 0.7985690832138062, acc = 0.7451171875
Batch 91: loss = 0.8083796501159668, acc = 0.7314453125
Batch 92: loss = 0.7593181729316711, acc = 0.75390625
Batch 93: loss = 0.6388351917266846, acc = 0.8037109375
Batch 94: loss = 0.6700716018676758, acc = 0.78125
Batch 95: loss = 0.7200274467468262, acc = 0.76171875
Batch 96: loss = 0.7782665491104126, acc = 0.73828125
Batch 97: loss = 0.7205683588981628, acc = 0.771484375
Batch 98: loss = 0.7230463027954102, acc = 0.7666015625
Batch 99: loss = 0.7520840167999268, acc = 0.7421875
Batch 100: loss = 0.7546389698982239, acc = 0.73828125
Batch 101: loss = 0.7479625940322876, acc = 0.7607421875
Batch 102: loss = 0.7842088937759399, acc = 0.73828125
Batch 103: loss = 0.7280302047729492, acc = 0.751953125
Batch 104: loss = 0.6775991916656494, acc = 0.7724609375
Batch 105: loss = 0.6653050780296326, acc = 0.78125
Batch 106: loss = 0.7334702014923096, acc = 0.7548828125
Batch 107: loss = 0.7110077142715454, acc = 0.76171875
Batch 108: loss = 0.7349211573600769, acc = 0.751953125
Batch 109: loss = 0.7198302149772644, acc = 0.7607421875
Batch 110: loss = 0.652389645576477, acc = 0.7900390625
Batch 111: loss = 0.8143643140792847, acc = 0.736328125
Batch 112: loss = 0.7278201580047607, acc = 0.7587890625
Batch 113: loss = 0.7647489309310913, acc = 0.7490234375
Batch 114: loss = 0.7858476638793945, acc = 0.7529296875
Batch 115: loss = 0.7711527347564697, acc = 0.75
Batch 116: loss = 0.8508765697479248, acc = 0.7373046875
Batch 117: loss = 0.683002233505249, acc = 0.7607421875
Batch 118: loss = 0.6563544273376465, acc = 0.7841796875
Batch 119: loss = 0.7389766573905945, acc = 0.759765625
Batch 120: loss = 0.7420746088027954, acc = 0.748046875
Batch 121: loss = 0.7567821145057678, acc = 0.7294921875
Batch 122: loss = 0.7128748893737793, acc = 0.7763671875
Batch 123: loss = 0.7329564690589905, acc = 0.7607421875
Batch 124: loss = 0.7779577970504761, acc = 0.7333984375
Batch 125: loss = 0.7608634233474731, acc = 0.73828125
Batch 126: loss = 0.7947441339492798, acc = 0.7490234375

Epoch 29/100
Batch 1: loss = 0.9386382699012756, acc = 0.7138671875
Batch 2: loss = 0.8716488480567932, acc = 0.7275390625
Batch 3: loss = 0.7835508584976196, acc = 0.7490234375
Batch 4: loss = 0.7508794069290161, acc = 0.7685546875
Batch 5: loss = 0.8222274780273438, acc = 0.73828125
Batch 6: loss = 0.8430221676826477, acc = 0.7099609375
Batch 7: loss = 0.7847646474838257, acc = 0.73828125
Batch 8: loss = 0.7483912706375122, acc = 0.7509765625
Batch 9: loss = 0.672049880027771, acc = 0.7763671875
Batch 10: loss = 0.6683950424194336, acc = 0.7666015625
Batch 11: loss = 0.7805540561676025, acc = 0.7333984375
Batch 12: loss = 0.7577438354492188, acc = 0.7568359375
Batch 13: loss = 0.7341833114624023, acc = 0.767578125
Batch 14: loss = 0.7329509258270264, acc = 0.7578125
Batch 15: loss = 0.7010349035263062, acc = 0.76953125
Batch 16: loss = 0.7690962553024292, acc = 0.7509765625
Batch 17: loss = 0.7585738897323608, acc = 0.7607421875
Batch 18: loss = 0.7761654853820801, acc = 0.7490234375
Batch 19: loss = 0.6963980793952942, acc = 0.783203125
Batch 20: loss = 0.7449400424957275, acc = 0.7509765625
Batch 21: loss = 0.7793208956718445, acc = 0.7451171875
Batch 22: loss = 0.6925686597824097, acc = 0.765625
Batch 23: loss = 0.7056864500045776, acc = 0.7451171875
Batch 24: loss = 0.7133744955062866, acc = 0.76953125
Batch 25: loss = 0.6939750909805298, acc = 0.76953125
Batch 26: loss = 0.6561284065246582, acc = 0.775390625
Batch 27: loss = 0.8392220735549927, acc = 0.720703125
Batch 28: loss = 0.7893334627151489, acc = 0.7470703125
Batch 29: loss = 0.740729033946991, acc = 0.755859375
Batch 30: loss = 0.6651229858398438, acc = 0.7763671875
Batch 31: loss = 0.8219424486160278, acc = 0.7392578125
Batch 32: loss = 0.8442845940589905, acc = 0.71875
Batch 33: loss = 0.6989441514015198, acc = 0.7724609375
Batch 34: loss = 0.7523181438446045, acc = 0.74609375
Batch 35: loss = 0.7184373736381531, acc = 0.7734375
Batch 36: loss = 0.6875733137130737, acc = 0.7783203125
Batch 37: loss = 0.708470344543457, acc = 0.779296875
Batch 38: loss = 0.766511857509613, acc = 0.75
Batch 39: loss = 0.7379335165023804, acc = 0.73828125
Batch 40: loss = 0.7551100254058838, acc = 0.7587890625
Batch 41: loss = 0.6617009043693542, acc = 0.7841796875
Batch 42: loss = 0.6920123100280762, acc = 0.76171875
Batch 43: loss = 0.7227182388305664, acc = 0.740234375
Batch 44: loss = 0.652893602848053, acc = 0.7763671875
Batch 45: loss = 0.6222936511039734, acc = 0.7958984375
Batch 46: loss = 0.693265438079834, acc = 0.7666015625
Batch 47: loss = 0.7053468227386475, acc = 0.76953125
Batch 48: loss = 0.6894049644470215, acc = 0.7734375
Batch 49: loss = 0.6189621090888977, acc = 0.7978515625
Batch 50: loss = 0.6713778972625732, acc = 0.78515625
Batch 51: loss = 0.6424652338027954, acc = 0.779296875
Batch 52: loss = 0.7632195949554443, acc = 0.7470703125
Batch 53: loss = 0.7596435546875, acc = 0.755859375
Batch 54: loss = 0.6424119472503662, acc = 0.779296875
Batch 55: loss = 0.6413869857788086, acc = 0.7880859375
Batch 56: loss = 0.7166961431503296, acc = 0.7568359375
Batch 57: loss = 0.7973177433013916, acc = 0.71875
Batch 58: loss = 0.7633207440376282, acc = 0.7412109375
Batch 59: loss = 0.573718786239624, acc = 0.8134765625
Batch 60: loss = 0.744449257850647, acc = 0.740234375
Batch 61: loss = 0.7162414789199829, acc = 0.775390625
Batch 62: loss = 0.8666287064552307, acc = 0.7197265625
Batch 63: loss = 0.786306619644165, acc = 0.7333984375
Batch 64: loss = 0.6151543855667114, acc = 0.8037109375
Batch 65: loss = 0.7672492265701294, acc = 0.75390625
Batch 66: loss = 0.737408459186554, acc = 0.755859375
Batch 67: loss = 0.6623800992965698, acc = 0.7646484375
Batch 68: loss = 0.749479353427887, acc = 0.7431640625
Batch 69: loss = 0.6837946176528931, acc = 0.7685546875
Batch 70: loss = 0.7740243673324585, acc = 0.73828125
Batch 71: loss = 0.7568141222000122, acc = 0.7353515625
Batch 72: loss = 0.6646138429641724, acc = 0.7744140625
Batch 73: loss = 0.7828247547149658, acc = 0.748046875
Batch 74: loss = 0.7965331077575684, acc = 0.7294921875
Batch 75: loss = 0.878658652305603, acc = 0.7177734375
Batch 76: loss = 0.8094799518585205, acc = 0.7158203125
Batch 77: loss = 0.6938928365707397, acc = 0.7705078125
Batch 78: loss = 0.7288655042648315, acc = 0.763671875
Batch 79: loss = 0.6195498108863831, acc = 0.7939453125
Batch 80: loss = 0.6680843234062195, acc = 0.7666015625
Batch 81: loss = 0.7004095911979675, acc = 0.7744140625
Batch 82: loss = 0.6436247229576111, acc = 0.7880859375
Batch 83: loss = 0.6958407163619995, acc = 0.748046875
Batch 84: loss = 0.7140731811523438, acc = 0.7724609375
Batch 85: loss = 0.8074923157691956, acc = 0.716796875
Batch 86: loss = 0.7332785129547119, acc = 0.7451171875
Batch 87: loss = 0.7013447284698486, acc = 0.7568359375
Batch 88: loss = 0.8487993478775024, acc = 0.720703125
Batch 89: loss = 0.7200192809104919, acc = 0.76953125
Batch 90: loss = 0.781990647315979, acc = 0.7353515625
Batch 91: loss = 0.772817075252533, acc = 0.7451171875
Batch 92: loss = 0.7473955154418945, acc = 0.7529296875
Batch 93: loss = 0.5896645784378052, acc = 0.8203125
Batch 94: loss = 0.6715626120567322, acc = 0.783203125
Batch 95: loss = 0.6637141704559326, acc = 0.7607421875
Batch 96: loss = 0.7631310820579529, acc = 0.744140625
Batch 97: loss = 0.6992977261543274, acc = 0.7646484375
Batch 98: loss = 0.6897073984146118, acc = 0.7841796875
Batch 99: loss = 0.7532700300216675, acc = 0.7421875
Batch 100: loss = 0.753254771232605, acc = 0.740234375
Batch 101: loss = 0.7300024032592773, acc = 0.7587890625
Batch 102: loss = 0.7595200538635254, acc = 0.7421875
Batch 103: loss = 0.7550270557403564, acc = 0.7548828125
Batch 104: loss = 0.6551162004470825, acc = 0.763671875
Batch 105: loss = 0.676533043384552, acc = 0.783203125
Batch 106: loss = 0.7098218202590942, acc = 0.76171875
Batch 107: loss = 0.7011372447013855, acc = 0.7587890625
Batch 108: loss = 0.7285680770874023, acc = 0.7587890625
Batch 109: loss = 0.7192083597183228, acc = 0.75390625
Batch 110: loss = 0.644137978553772, acc = 0.7880859375
Batch 111: loss = 0.804454505443573, acc = 0.74609375
Batch 112: loss = 0.706783652305603, acc = 0.7587890625
Batch 113: loss = 0.7659846544265747, acc = 0.75
Batch 114: loss = 0.7589473724365234, acc = 0.7490234375
Batch 115: loss = 0.7679616808891296, acc = 0.751953125
Batch 116: loss = 0.8322479724884033, acc = 0.7236328125
Batch 117: loss = 0.6881235837936401, acc = 0.775390625
Batch 118: loss = 0.6590470671653748, acc = 0.7724609375
Batch 119: loss = 0.7418848276138306, acc = 0.7578125
Batch 120: loss = 0.7256916761398315, acc = 0.755859375
Batch 121: loss = 0.719840407371521, acc = 0.76953125
Batch 122: loss = 0.6722358465194702, acc = 0.77734375
Batch 123: loss = 0.736746072769165, acc = 0.75390625
Batch 124: loss = 0.7671583890914917, acc = 0.7275390625
Batch 125: loss = 0.751055121421814, acc = 0.751953125
Batch 126: loss = 0.7633975744247437, acc = 0.7568359375

Epoch 30/100
Batch 1: loss = 0.9272127747535706, acc = 0.70703125
Batch 2: loss = 0.8694705963134766, acc = 0.708984375
Batch 3: loss = 0.7340898513793945, acc = 0.775390625
Batch 4: loss = 0.7111397981643677, acc = 0.7890625
Batch 5: loss = 0.824562132358551, acc = 0.7333984375
Batch 6: loss = 0.8378188610076904, acc = 0.7216796875
Batch 7: loss = 0.7508907318115234, acc = 0.76171875
Batch 8: loss = 0.7248121500015259, acc = 0.7607421875
Batch 9: loss = 0.6833301782608032, acc = 0.765625
Batch 10: loss = 0.6433145999908447, acc = 0.7919921875
Batch 11: loss = 0.7520673871040344, acc = 0.7529296875
Batch 12: loss = 0.7401507496833801, acc = 0.76953125
Batch 13: loss = 0.6880664825439453, acc = 0.7607421875
Batch 14: loss = 0.7040294408798218, acc = 0.7548828125
Batch 15: loss = 0.6719450950622559, acc = 0.787109375
Batch 16: loss = 0.7769629955291748, acc = 0.7470703125
Batch 17: loss = 0.7417914867401123, acc = 0.7646484375
Batch 18: loss = 0.7801596522331238, acc = 0.7587890625
Batch 19: loss = 0.665915310382843, acc = 0.7822265625
Batch 20: loss = 0.725987434387207, acc = 0.7509765625
Batch 21: loss = 0.8014310002326965, acc = 0.736328125
Batch 22: loss = 0.6769653558731079, acc = 0.7822265625
Batch 23: loss = 0.6846672892570496, acc = 0.755859375
Batch 24: loss = 0.6701645851135254, acc = 0.7578125
Batch 25: loss = 0.6769916415214539, acc = 0.7724609375
Batch 26: loss = 0.6380898952484131, acc = 0.794921875
Batch 27: loss = 0.8286942839622498, acc = 0.7255859375
Batch 28: loss = 0.7492098212242126, acc = 0.7490234375
Batch 29: loss = 0.7275804877281189, acc = 0.7685546875
Batch 30: loss = 0.6320490837097168, acc = 0.7880859375
Batch 31: loss = 0.7773092985153198, acc = 0.732421875
Batch 32: loss = 0.837479293346405, acc = 0.720703125
Batch 33: loss = 0.6785469055175781, acc = 0.7783203125
Batch 34: loss = 0.7266311645507812, acc = 0.755859375
Batch 35: loss = 0.7025754451751709, acc = 0.775390625
Batch 36: loss = 0.6939902305603027, acc = 0.7724609375
Batch 37: loss = 0.6729394197463989, acc = 0.78515625
Batch 38: loss = 0.7527637481689453, acc = 0.74609375
Batch 39: loss = 0.7063817977905273, acc = 0.76953125
Batch 40: loss = 0.7369661331176758, acc = 0.767578125
Batch 41: loss = 0.6418625712394714, acc = 0.7939453125
Batch 42: loss = 0.6752915382385254, acc = 0.7783203125
Batch 43: loss = 0.72712641954422, acc = 0.7587890625
Batch 44: loss = 0.633257269859314, acc = 0.78515625
Batch 45: loss = 0.5886700749397278, acc = 0.814453125
Batch 46: loss = 0.6714128851890564, acc = 0.765625
Batch 47: loss = 0.702958345413208, acc = 0.7861328125
Batch 48: loss = 0.6549232602119446, acc = 0.77734375
Batch 49: loss = 0.6385370492935181, acc = 0.7890625
Batch 50: loss = 0.6479555368423462, acc = 0.79296875
Batch 51: loss = 0.6460671424865723, acc = 0.775390625
Batch 52: loss = 0.7201465368270874, acc = 0.7646484375
Batch 53: loss = 0.7073784470558167, acc = 0.771484375
Batch 54: loss = 0.6179181933403015, acc = 0.8046875
Batch 55: loss = 0.6297745704650879, acc = 0.7939453125
Batch 56: loss = 0.6882116794586182, acc = 0.7744140625
Batch 57: loss = 0.7818922996520996, acc = 0.73046875
Batch 58: loss = 0.7475324869155884, acc = 0.7431640625
Batch 59: loss = 0.5652965307235718, acc = 0.8095703125
Batch 60: loss = 0.719515323638916, acc = 0.751953125
Batch 61: loss = 0.6762480735778809, acc = 0.791015625
Batch 62: loss = 0.849228024482727, acc = 0.7216796875
Batch 63: loss = 0.7633005380630493, acc = 0.744140625
Batch 64: loss = 0.6134358048439026, acc = 0.806640625
Batch 65: loss = 0.7529617547988892, acc = 0.755859375
Batch 66: loss = 0.6916550397872925, acc = 0.7705078125
Batch 67: loss = 0.6494001150131226, acc = 0.7763671875
Batch 68: loss = 0.7320005893707275, acc = 0.7646484375
Batch 69: loss = 0.6876997351646423, acc = 0.7734375
Batch 70: loss = 0.7983447909355164, acc = 0.7451171875
Batch 71: loss = 0.7246286869049072, acc = 0.7548828125
Batch 72: loss = 0.667165219783783, acc = 0.7822265625
Batch 73: loss = 0.7861697673797607, acc = 0.7333984375
Batch 74: loss = 0.7773480415344238, acc = 0.7353515625
Batch 75: loss = 0.855483889579773, acc = 0.7236328125
Batch 76: loss = 0.7896827459335327, acc = 0.7412109375
Batch 77: loss = 0.6813963651657104, acc = 0.7685546875
Batch 78: loss = 0.7138913869857788, acc = 0.76953125
Batch 79: loss = 0.5992351174354553, acc = 0.8046875
Batch 80: loss = 0.647308349609375, acc = 0.7744140625
Batch 81: loss = 0.6905169486999512, acc = 0.771484375
Batch 82: loss = 0.6044872999191284, acc = 0.806640625
Batch 83: loss = 0.6868623495101929, acc = 0.7705078125
Batch 84: loss = 0.7012099027633667, acc = 0.7705078125
Batch 85: loss = 0.7753587365150452, acc = 0.734375
Batch 86: loss = 0.69913649559021, acc = 0.7548828125
Batch 87: loss = 0.6833919286727905, acc = 0.7685546875
Batch 88: loss = 0.826908528804779, acc = 0.7294921875
Batch 89: loss = 0.7262499332427979, acc = 0.76171875
Batch 90: loss = 0.7666429281234741, acc = 0.740234375
Batch 91: loss = 0.7676695585250854, acc = 0.740234375
Batch 92: loss = 0.7508763074874878, acc = 0.7529296875
Batch 93: loss = 0.6042602062225342, acc = 0.810546875
Batch 94: loss = 0.6607801914215088, acc = 0.78515625
Batch 95: loss = 0.6653079986572266, acc = 0.7685546875
Batch 96: loss = 0.7449250221252441, acc = 0.748046875
Batch 97: loss = 0.6850358247756958, acc = 0.7744140625
Batch 98: loss = 0.6922523975372314, acc = 0.7861328125
Batch 99: loss = 0.7172408103942871, acc = 0.7607421875
Batch 100: loss = 0.720370888710022, acc = 0.7451171875
Batch 101: loss = 0.7190312147140503, acc = 0.7705078125
Batch 102: loss = 0.7302206754684448, acc = 0.763671875
Batch 103: loss = 0.6961944103240967, acc = 0.771484375
Batch 104: loss = 0.6617749929428101, acc = 0.7744140625
Batch 105: loss = 0.6832844614982605, acc = 0.7763671875
Batch 106: loss = 0.7030947208404541, acc = 0.77734375
Batch 107: loss = 0.6739444732666016, acc = 0.7802734375
Batch 108: loss = 0.718076229095459, acc = 0.7578125
Batch 109: loss = 0.7118201851844788, acc = 0.7685546875
Batch 110: loss = 0.6409645676612854, acc = 0.779296875
Batch 111: loss = 0.7744045257568359, acc = 0.736328125
Batch 112: loss = 0.7141280174255371, acc = 0.7587890625
Batch 113: loss = 0.7313046455383301, acc = 0.7802734375
Batch 114: loss = 0.7454035878181458, acc = 0.7509765625
Batch 115: loss = 0.7362468242645264, acc = 0.7568359375
Batch 116: loss = 0.822731614112854, acc = 0.732421875
Batch 117: loss = 0.6734845042228699, acc = 0.7705078125
Batch 118: loss = 0.6263771057128906, acc = 0.77734375
Batch 119: loss = 0.7020931243896484, acc = 0.7734375
Batch 120: loss = 0.7126057147979736, acc = 0.7578125
Batch 121: loss = 0.7084829807281494, acc = 0.7578125
Batch 122: loss = 0.6733272075653076, acc = 0.7783203125
Batch 123: loss = 0.6842167973518372, acc = 0.765625
Batch 124: loss = 0.7587920427322388, acc = 0.7431640625
Batch 125: loss = 0.7526853084564209, acc = 0.759765625
Batch 126: loss = 0.7817995548248291, acc = 0.736328125
Saved checkpoint to weights.30.h5

Epoch 31/100
Batch 1: loss = 0.9479420185089111, acc = 0.705078125
Batch 2: loss = 0.8330181837081909, acc = 0.740234375
Batch 3: loss = 0.731273889541626, acc = 0.7666015625
Batch 4: loss = 0.7456067800521851, acc = 0.763671875
Batch 5: loss = 0.7951751947402954, acc = 0.744140625
Batch 6: loss = 0.8207627534866333, acc = 0.7265625
Batch 7: loss = 0.732693076133728, acc = 0.763671875
Batch 8: loss = 0.7326655387878418, acc = 0.7587890625
Batch 9: loss = 0.6606276035308838, acc = 0.77734375
Batch 10: loss = 0.6435215473175049, acc = 0.78125
Batch 11: loss = 0.7490808963775635, acc = 0.7509765625
Batch 12: loss = 0.751291811466217, acc = 0.734375
Batch 13: loss = 0.6660971641540527, acc = 0.7744140625
Batch 14: loss = 0.6841845512390137, acc = 0.7822265625
Batch 15: loss = 0.6690220832824707, acc = 0.783203125
Batch 16: loss = 0.7609215378761292, acc = 0.751953125
Batch 17: loss = 0.7344979047775269, acc = 0.7705078125
Batch 18: loss = 0.7244064211845398, acc = 0.775390625
Batch 19: loss = 0.6830250024795532, acc = 0.7744140625
Batch 20: loss = 0.6925925612449646, acc = 0.763671875
Batch 21: loss = 0.7903808355331421, acc = 0.7353515625
Batch 22: loss = 0.6522737145423889, acc = 0.7890625
Batch 23: loss = 0.7181955575942993, acc = 0.7548828125
Batch 24: loss = 0.6569414138793945, acc = 0.779296875
Batch 25: loss = 0.6599388122558594, acc = 0.7861328125
Batch 26: loss = 0.654749870300293, acc = 0.7822265625
Batch 27: loss = 0.803276777267456, acc = 0.7470703125
Batch 28: loss = 0.721924364566803, acc = 0.7646484375
Batch 29: loss = 0.7167147397994995, acc = 0.7685546875
Batch 30: loss = 0.6323298811912537, acc = 0.7841796875
Batch 31: loss = 0.7615360021591187, acc = 0.755859375
Batch 32: loss = 0.7970727682113647, acc = 0.724609375
Batch 33: loss = 0.6740995049476624, acc = 0.771484375
Batch 34: loss = 0.6943128705024719, acc = 0.7607421875
Batch 35: loss = 0.700200080871582, acc = 0.76953125
Batch 36: loss = 0.6738606095314026, acc = 0.7783203125
Batch 37: loss = 0.6629163026809692, acc = 0.7880859375
Batch 38: loss = 0.7048995494842529, acc = 0.76953125
Batch 39: loss = 0.6890194416046143, acc = 0.76953125
Batch 40: loss = 0.698162317276001, acc = 0.765625
Batch 41: loss = 0.6263003349304199, acc = 0.7919921875
Batch 42: loss = 0.6660300493240356, acc = 0.7685546875
Batch 43: loss = 0.7080571055412292, acc = 0.76171875
Batch 44: loss = 0.6277045607566833, acc = 0.79296875
Batch 45: loss = 0.5874367952346802, acc = 0.822265625
Batch 46: loss = 0.6634305715560913, acc = 0.77734375
Batch 47: loss = 0.6678602695465088, acc = 0.7880859375
Batch 48: loss = 0.621979296207428, acc = 0.7919921875
Batch 49: loss = 0.585077166557312, acc = 0.814453125
Batch 50: loss = 0.6269228458404541, acc = 0.7919921875
Batch 51: loss = 0.6009087562561035, acc = 0.796875
Batch 52: loss = 0.7003334164619446, acc = 0.775390625
Batch 53: loss = 0.6853243112564087, acc = 0.7685546875
Batch 54: loss = 0.5801860094070435, acc = 0.8095703125
Batch 55: loss = 0.6061360239982605, acc = 0.802734375
Batch 56: loss = 0.7031942009925842, acc = 0.7626953125
Batch 57: loss = 0.7541317939758301, acc = 0.736328125
Batch 58: loss = 0.7282932996749878, acc = 0.759765625
Batch 59: loss = 0.5553743839263916, acc = 0.80859375
Batch 60: loss = 0.6900306344032288, acc = 0.755859375
Batch 61: loss = 0.6810568571090698, acc = 0.7880859375
Batch 62: loss = 0.8552539944648743, acc = 0.708984375
Batch 63: loss = 0.7628887891769409, acc = 0.75
Batch 64: loss = 0.5886106491088867, acc = 0.810546875
Batch 65: loss = 0.7149156928062439, acc = 0.7607421875
Batch 66: loss = 0.705312967300415, acc = 0.755859375
Batch 67: loss = 0.6113804578781128, acc = 0.7958984375
Batch 68: loss = 0.6960954666137695, acc = 0.7685546875
Batch 69: loss = 0.6304767727851868, acc = 0.7861328125
Batch 70: loss = 0.7418834567070007, acc = 0.76171875
Batch 71: loss = 0.6937891244888306, acc = 0.765625
Batch 72: loss = 0.6212465763092041, acc = 0.794921875
Batch 73: loss = 0.7480278015136719, acc = 0.7529296875
Batch 74: loss = 0.7592198848724365, acc = 0.7470703125
Batch 75: loss = 0.8340986967086792, acc = 0.732421875
Batch 76: loss = 0.7297760248184204, acc = 0.7509765625
Batch 77: loss = 0.6640655994415283, acc = 0.7802734375
Batch 78: loss = 0.6844416260719299, acc = 0.77734375
Batch 79: loss = 0.6057218313217163, acc = 0.79296875
Batch 80: loss = 0.611091136932373, acc = 0.7802734375
Batch 81: loss = 0.6902438402175903, acc = 0.7744140625
Batch 82: loss = 0.5827440619468689, acc = 0.810546875
Batch 83: loss = 0.6533663272857666, acc = 0.78515625
Batch 84: loss = 0.6924546957015991, acc = 0.7587890625
Batch 85: loss = 0.770992636680603, acc = 0.7373046875
Batch 86: loss = 0.7053021192550659, acc = 0.771484375
Batch 87: loss = 0.7038816213607788, acc = 0.7666015625
Batch 88: loss = 0.7793805599212646, acc = 0.7490234375
Batch 89: loss = 0.68325275182724, acc = 0.7783203125
Batch 90: loss = 0.7428066730499268, acc = 0.755859375
Batch 91: loss = 0.7472001314163208, acc = 0.748046875
Batch 92: loss = 0.7116609811782837, acc = 0.7646484375
Batch 93: loss = 0.5984330177307129, acc = 0.8173828125
Batch 94: loss = 0.6435467600822449, acc = 0.7900390625
Batch 95: loss = 0.68723064661026, acc = 0.78515625
Batch 96: loss = 0.7419205904006958, acc = 0.744140625
Batch 97: loss = 0.6862589120864868, acc = 0.7841796875
Batch 98: loss = 0.6559592485427856, acc = 0.78515625
Batch 99: loss = 0.6727161407470703, acc = 0.76953125
Batch 100: loss = 0.692300021648407, acc = 0.7451171875
Batch 101: loss = 0.6621935963630676, acc = 0.779296875
Batch 102: loss = 0.7249593138694763, acc = 0.76171875
Batch 103: loss = 0.6973711252212524, acc = 0.76953125
Batch 104: loss = 0.6482502818107605, acc = 0.7841796875
Batch 105: loss = 0.6507019400596619, acc = 0.7890625
Batch 106: loss = 0.7151380181312561, acc = 0.7666015625
Batch 107: loss = 0.6563796401023865, acc = 0.78515625
Batch 108: loss = 0.6655882596969604, acc = 0.765625
Batch 109: loss = 0.6680089831352234, acc = 0.7841796875
Batch 110: loss = 0.6339147090911865, acc = 0.7919921875
Batch 111: loss = 0.7938441038131714, acc = 0.7412109375
Batch 112: loss = 0.6858181357383728, acc = 0.775390625
Batch 113: loss = 0.7161222100257874, acc = 0.7587890625
Batch 114: loss = 0.7317900061607361, acc = 0.7724609375
Batch 115: loss = 0.7113255262374878, acc = 0.765625
Batch 116: loss = 0.8088381290435791, acc = 0.7412109375
Batch 117: loss = 0.6411503553390503, acc = 0.79296875
Batch 118: loss = 0.6228210926055908, acc = 0.798828125
Batch 119: loss = 0.6597738265991211, acc = 0.783203125
Batch 120: loss = 0.6860101222991943, acc = 0.7724609375
Batch 121: loss = 0.679007351398468, acc = 0.7744140625
Batch 122: loss = 0.6452618837356567, acc = 0.7822265625
Batch 123: loss = 0.6678867936134338, acc = 0.767578125
Batch 124: loss = 0.7176678776741028, acc = 0.751953125
Batch 125: loss = 0.7517337799072266, acc = 0.748046875
Batch 126: loss = 0.7455477714538574, acc = 0.755859375

Epoch 32/100
Batch 1: loss = 0.8646407723426819, acc = 0.732421875
Batch 2: loss = 0.8062896132469177, acc = 0.73828125
Batch 3: loss = 0.7137160897254944, acc = 0.76171875
Batch 4: loss = 0.6821280717849731, acc = 0.783203125
Batch 5: loss = 0.7935017943382263, acc = 0.751953125
Batch 6: loss = 0.7889587879180908, acc = 0.734375
Batch 7: loss = 0.7142019271850586, acc = 0.763671875
Batch 8: loss = 0.6844456195831299, acc = 0.78515625
Batch 9: loss = 0.6175906658172607, acc = 0.806640625
Batch 10: loss = 0.6000679135322571, acc = 0.7978515625
Batch 11: loss = 0.7369582653045654, acc = 0.7568359375
Batch 12: loss = 0.7028756737709045, acc = 0.7666015625
Batch 13: loss = 0.6871440410614014, acc = 0.7744140625
Batch 14: loss = 0.6758471727371216, acc = 0.7822265625
Batch 15: loss = 0.6669217348098755, acc = 0.7919921875
Batch 16: loss = 0.7284259796142578, acc = 0.7646484375
Batch 17: loss = 0.7173029184341431, acc = 0.7744140625
Batch 18: loss = 0.7330175638198853, acc = 0.7880859375
Batch 19: loss = 0.6463660001754761, acc = 0.7939453125
Batch 20: loss = 0.6847234964370728, acc = 0.765625
Batch 21: loss = 0.735763430595398, acc = 0.7421875
Batch 22: loss = 0.6524239778518677, acc = 0.791015625
Batch 23: loss = 0.6755383014678955, acc = 0.7548828125
Batch 24: loss = 0.6417062282562256, acc = 0.787109375
Batch 25: loss = 0.6456210613250732, acc = 0.7685546875
Batch 26: loss = 0.6162363886833191, acc = 0.791015625
Batch 27: loss = 0.7836870551109314, acc = 0.728515625
Batch 28: loss = 0.7199772596359253, acc = 0.7509765625
Batch 29: loss = 0.6852624416351318, acc = 0.771484375
Batch 30: loss = 0.6307682991027832, acc = 0.7763671875
Batch 31: loss = 0.761298418045044, acc = 0.7578125
Batch 32: loss = 0.7803927659988403, acc = 0.736328125
Batch 33: loss = 0.6591933965682983, acc = 0.7802734375
Batch 34: loss = 0.6826493740081787, acc = 0.76171875
Batch 35: loss = 0.6628020405769348, acc = 0.7763671875
Batch 36: loss = 0.6412244439125061, acc = 0.7900390625
Batch 37: loss = 0.6489852070808411, acc = 0.787109375
Batch 38: loss = 0.6938316226005554, acc = 0.76953125
Batch 39: loss = 0.6753485202789307, acc = 0.7587890625
Batch 40: loss = 0.7068204879760742, acc = 0.763671875
Batch 41: loss = 0.6015619039535522, acc = 0.7890625
Batch 42: loss = 0.6187528371810913, acc = 0.7939453125
Batch 43: loss = 0.6636618375778198, acc = 0.775390625
Batch 44: loss = 0.5934262275695801, acc = 0.79296875
Batch 45: loss = 0.5641758441925049, acc = 0.810546875
Batch 46: loss = 0.6204532980918884, acc = 0.7939453125
Batch 47: loss = 0.649567723274231, acc = 0.783203125
Batch 48: loss = 0.6316171884536743, acc = 0.7919921875
Batch 49: loss = 0.5756213068962097, acc = 0.8154296875
Batch 50: loss = 0.6189562678337097, acc = 0.8056640625
Batch 51: loss = 0.6147960424423218, acc = 0.7978515625
Batch 52: loss = 0.6775771379470825, acc = 0.7822265625
Batch 53: loss = 0.700044572353363, acc = 0.7587890625
Batch 54: loss = 0.5585019588470459, acc = 0.8193359375
Batch 55: loss = 0.6239477396011353, acc = 0.7900390625
Batch 56: loss = 0.6574424505233765, acc = 0.7666015625
Batch 57: loss = 0.7391922473907471, acc = 0.7587890625
Batch 58: loss = 0.7015485763549805, acc = 0.7646484375
Batch 59: loss = 0.538257360458374, acc = 0.828125
Batch 60: loss = 0.6812784075737, acc = 0.763671875
Batch 61: loss = 0.6297939419746399, acc = 0.798828125
Batch 62: loss = 0.8078154921531677, acc = 0.7265625
Batch 63: loss = 0.70866858959198, acc = 0.767578125
Batch 64: loss = 0.6006156206130981, acc = 0.794921875
Batch 65: loss = 0.695682942867279, acc = 0.76953125
Batch 66: loss = 0.6619025468826294, acc = 0.7763671875
Batch 67: loss = 0.6178340911865234, acc = 0.7939453125
Batch 68: loss = 0.6838154196739197, acc = 0.7685546875
Batch 69: loss = 0.6150273084640503, acc = 0.80078125
Batch 70: loss = 0.7244636416435242, acc = 0.763671875
Batch 71: loss = 0.6625239849090576, acc = 0.7822265625
Batch 72: loss = 0.6038609743118286, acc = 0.787109375
Batch 73: loss = 0.7326864004135132, acc = 0.7490234375
Batch 74: loss = 0.7252267599105835, acc = 0.7509765625
Batch 75: loss = 0.846592903137207, acc = 0.7099609375
Batch 76: loss = 0.7363244295120239, acc = 0.7490234375
Batch 77: loss = 0.649377703666687, acc = 0.7783203125
Batch 78: loss = 0.6907913684844971, acc = 0.76953125
Batch 79: loss = 0.6072880029678345, acc = 0.8017578125
Batch 80: loss = 0.6431580781936646, acc = 0.779296875
Batch 81: loss = 0.6770840883255005, acc = 0.7666015625
Batch 82: loss = 0.5950531959533691, acc = 0.80078125
Batch 83: loss = 0.6596857905387878, acc = 0.7861328125
Batch 84: loss = 0.6885131597518921, acc = 0.771484375
Batch 85: loss = 0.7608016729354858, acc = 0.74609375
Batch 86: loss = 0.6720864772796631, acc = 0.7890625
Batch 87: loss = 0.6305912733078003, acc = 0.7880859375
Batch 88: loss = 0.7802251577377319, acc = 0.7529296875
Batch 89: loss = 0.6644487380981445, acc = 0.7890625
Batch 90: loss = 0.7404285669326782, acc = 0.74609375
Batch 91: loss = 0.7339047193527222, acc = 0.75
Batch 92: loss = 0.7060183882713318, acc = 0.78125
Batch 93: loss = 0.5859061479568481, acc = 0.810546875
Batch 94: loss = 0.6113856434822083, acc = 0.8125
Batch 95: loss = 0.6504449248313904, acc = 0.7880859375
Batch 96: loss = 0.7291009426116943, acc = 0.771484375
Batch 97: loss = 0.6633236408233643, acc = 0.7880859375
Batch 98: loss = 0.6608168482780457, acc = 0.7890625
Batch 99: loss = 0.6825960278511047, acc = 0.7822265625
Batch 100: loss = 0.7160868644714355, acc = 0.7451171875
Batch 101: loss = 0.671150803565979, acc = 0.7783203125
Batch 102: loss = 0.6930443048477173, acc = 0.7841796875
Batch 103: loss = 0.6622573137283325, acc = 0.7724609375
Batch 104: loss = 0.6278718113899231, acc = 0.7734375
Batch 105: loss = 0.6358436346054077, acc = 0.791015625
Batch 106: loss = 0.6832379102706909, acc = 0.7744140625
Batch 107: loss = 0.6524165272712708, acc = 0.7783203125
Batch 108: loss = 0.6575068235397339, acc = 0.7763671875
Batch 109: loss = 0.677254855632782, acc = 0.7783203125
Batch 110: loss = 0.5996793508529663, acc = 0.7998046875
Batch 111: loss = 0.7446922659873962, acc = 0.76171875
Batch 112: loss = 0.6653326749801636, acc = 0.794921875
Batch 113: loss = 0.700738787651062, acc = 0.771484375
Batch 114: loss = 0.7008621692657471, acc = 0.7734375
Batch 115: loss = 0.7227396368980408, acc = 0.751953125
Batch 116: loss = 0.7824035286903381, acc = 0.7568359375
Batch 117: loss = 0.6306397914886475, acc = 0.79296875
Batch 118: loss = 0.600712776184082, acc = 0.798828125
Batch 119: loss = 0.6606296300888062, acc = 0.79296875
Batch 120: loss = 0.6632110476493835, acc = 0.7822265625
Batch 121: loss = 0.6826862096786499, acc = 0.76953125
Batch 122: loss = 0.6262410283088684, acc = 0.7890625
Batch 123: loss = 0.6543015241622925, acc = 0.791015625
Batch 124: loss = 0.7124902009963989, acc = 0.765625
Batch 125: loss = 0.7069728970527649, acc = 0.765625
Batch 126: loss = 0.7057855725288391, acc = 0.7734375

Epoch 33/100
Batch 1: loss = 0.8882795572280884, acc = 0.73046875
Batch 2: loss = 0.7701486349105835, acc = 0.7509765625
Batch 3: loss = 0.6893802881240845, acc = 0.7802734375
Batch 4: loss = 0.6548646092414856, acc = 0.7880859375
Batch 5: loss = 0.7519866228103638, acc = 0.748046875
Batch 6: loss = 0.7570462822914124, acc = 0.7412109375
Batch 7: loss = 0.6820979118347168, acc = 0.7685546875
Batch 8: loss = 0.6862168312072754, acc = 0.7685546875
Batch 9: loss = 0.6403340101242065, acc = 0.7939453125
Batch 10: loss = 0.5940054059028625, acc = 0.7998046875
Batch 11: loss = 0.7027283906936646, acc = 0.7587890625
Batch 12: loss = 0.7012402415275574, acc = 0.775390625
Batch 13: loss = 0.631983757019043, acc = 0.7861328125
Batch 14: loss = 0.6426893472671509, acc = 0.8046875
Batch 15: loss = 0.6354942321777344, acc = 0.791015625
Batch 16: loss = 0.7274014949798584, acc = 0.765625
Batch 17: loss = 0.7111682295799255, acc = 0.7763671875
Batch 18: loss = 0.6878446936607361, acc = 0.78125
Batch 19: loss = 0.6705440282821655, acc = 0.7900390625
Batch 20: loss = 0.6775329113006592, acc = 0.7587890625
Batch 21: loss = 0.716923713684082, acc = 0.767578125
Batch 22: loss = 0.6380280256271362, acc = 0.79296875
Batch 23: loss = 0.6470671892166138, acc = 0.783203125
Batch 24: loss = 0.630696177482605, acc = 0.7890625
Batch 25: loss = 0.6365571618080139, acc = 0.7939453125
Batch 26: loss = 0.6221365928649902, acc = 0.7998046875
Batch 27: loss = 0.7672855257987976, acc = 0.7607421875
Batch 28: loss = 0.6931177377700806, acc = 0.7578125
Batch 29: loss = 0.6766993999481201, acc = 0.76953125
Batch 30: loss = 0.6103047132492065, acc = 0.798828125
Batch 31: loss = 0.745233416557312, acc = 0.751953125
Batch 32: loss = 0.7718344926834106, acc = 0.7451171875
Batch 33: loss = 0.6237132549285889, acc = 0.79296875
Batch 34: loss = 0.651055634021759, acc = 0.7587890625
Batch 35: loss = 0.6311315298080444, acc = 0.7939453125
Batch 36: loss = 0.6046647429466248, acc = 0.7998046875
Batch 37: loss = 0.6349351406097412, acc = 0.79296875
Batch 38: loss = 0.6557488441467285, acc = 0.7861328125
Batch 39: loss = 0.6351287961006165, acc = 0.802734375
Batch 40: loss = 0.6774314641952515, acc = 0.7919921875
Batch 41: loss = 0.6002610921859741, acc = 0.802734375
Batch 42: loss = 0.6103690266609192, acc = 0.7900390625
Batch 43: loss = 0.6594218015670776, acc = 0.7802734375
Batch 44: loss = 0.5925365686416626, acc = 0.7939453125
Batch 45: loss = 0.5584118366241455, acc = 0.814453125
Batch 46: loss = 0.6144478917121887, acc = 0.7900390625
Batch 47: loss = 0.6254839301109314, acc = 0.7978515625
Batch 48: loss = 0.6001630425453186, acc = 0.7919921875
Batch 49: loss = 0.5755346417427063, acc = 0.8076171875
Batch 50: loss = 0.6194647550582886, acc = 0.7890625
Batch 51: loss = 0.5964393615722656, acc = 0.7802734375
Batch 52: loss = 0.6685163378715515, acc = 0.7841796875
Batch 53: loss = 0.6676021814346313, acc = 0.7763671875
Batch 54: loss = 0.5805521011352539, acc = 0.8095703125
Batch 55: loss = 0.560213565826416, acc = 0.81640625
Batch 56: loss = 0.6577758193016052, acc = 0.7841796875
Batch 57: loss = 0.7080726623535156, acc = 0.765625
Batch 58: loss = 0.7141634225845337, acc = 0.7470703125
Batch 59: loss = 0.5353937149047852, acc = 0.8203125
Batch 60: loss = 0.666037917137146, acc = 0.7724609375
Batch 61: loss = 0.637589693069458, acc = 0.7900390625
Batch 62: loss = 0.784673273563385, acc = 0.728515625
Batch 63: loss = 0.7223203182220459, acc = 0.7607421875
Batch 64: loss = 0.5610362887382507, acc = 0.8095703125
Batch 65: loss = 0.6933298110961914, acc = 0.767578125
Batch 66: loss = 0.6476532220840454, acc = 0.78515625
Batch 67: loss = 0.5955076217651367, acc = 0.798828125
Batch 68: loss = 0.6403647065162659, acc = 0.7861328125
Batch 69: loss = 0.6088196635246277, acc = 0.7958984375
Batch 70: loss = 0.7401578426361084, acc = 0.7646484375
Batch 71: loss = 0.6606984734535217, acc = 0.78125
Batch 72: loss = 0.6209658980369568, acc = 0.79296875
Batch 73: loss = 0.7521660327911377, acc = 0.755859375
Batch 74: loss = 0.7032095193862915, acc = 0.7607421875
Batch 75: loss = 0.7910425066947937, acc = 0.7255859375
Batch 76: loss = 0.7201671600341797, acc = 0.765625
Batch 77: loss = 0.6469736099243164, acc = 0.7841796875
Batch 78: loss = 0.6473576426506042, acc = 0.7861328125
Batch 79: loss = 0.5840358734130859, acc = 0.796875
Batch 80: loss = 0.6147858500480652, acc = 0.791015625
Batch 81: loss = 0.654528021812439, acc = 0.7919921875
Batch 82: loss = 0.5718302726745605, acc = 0.8037109375
Batch 83: loss = 0.6432766914367676, acc = 0.775390625
Batch 84: loss = 0.6698752045631409, acc = 0.771484375
Batch 85: loss = 0.7347987294197083, acc = 0.751953125
Batch 86: loss = 0.6588988304138184, acc = 0.7802734375
Batch 87: loss = 0.6334483623504639, acc = 0.7900390625
Batch 88: loss = 0.7474315166473389, acc = 0.7685546875
Batch 89: loss = 0.6484135389328003, acc = 0.7998046875
Batch 90: loss = 0.7114772200584412, acc = 0.7666015625
Batch 91: loss = 0.6805694103240967, acc = 0.77734375
Batch 92: loss = 0.6928242444992065, acc = 0.775390625
Batch 93: loss = 0.5596007704734802, acc = 0.8193359375
Batch 94: loss = 0.5995396375656128, acc = 0.8017578125
Batch 95: loss = 0.6286754608154297, acc = 0.794921875
Batch 96: loss = 0.7130540609359741, acc = 0.7607421875
Batch 97: loss = 0.6443850994110107, acc = 0.7880859375
Batch 98: loss = 0.6507472395896912, acc = 0.7900390625
Batch 99: loss = 0.6733822822570801, acc = 0.7802734375
Batch 100: loss = 0.6784024238586426, acc = 0.771484375
Batch 101: loss = 0.6413975358009338, acc = 0.787109375
Batch 102: loss = 0.6711953282356262, acc = 0.775390625
Batch 103: loss = 0.6373826861381531, acc = 0.78125
Batch 104: loss = 0.6099807024002075, acc = 0.7890625
Batch 105: loss = 0.6142066717147827, acc = 0.80078125
Batch 106: loss = 0.6547408103942871, acc = 0.78125
Batch 107: loss = 0.617825984954834, acc = 0.7841796875
Batch 108: loss = 0.6455381512641907, acc = 0.7763671875
Batch 109: loss = 0.6515547037124634, acc = 0.7802734375
Batch 110: loss = 0.5624151229858398, acc = 0.8076171875
Batch 111: loss = 0.7286175489425659, acc = 0.767578125
Batch 112: loss = 0.685799241065979, acc = 0.779296875
Batch 113: loss = 0.6684300899505615, acc = 0.7705078125
Batch 114: loss = 0.7089130878448486, acc = 0.76171875
Batch 115: loss = 0.6937177777290344, acc = 0.7568359375
Batch 116: loss = 0.7494215369224548, acc = 0.771484375
Batch 117: loss = 0.6147960424423218, acc = 0.7998046875
Batch 118: loss = 0.6004794836044312, acc = 0.7998046875
Batch 119: loss = 0.6324936747550964, acc = 0.7958984375
Batch 120: loss = 0.6375982165336609, acc = 0.7900390625
Batch 121: loss = 0.6377413868904114, acc = 0.779296875
Batch 122: loss = 0.6399467587471008, acc = 0.791015625
Batch 123: loss = 0.6502097249031067, acc = 0.7890625
Batch 124: loss = 0.6983945369720459, acc = 0.765625
Batch 125: loss = 0.6929599046707153, acc = 0.765625
Batch 126: loss = 0.6984272599220276, acc = 0.78125

Epoch 34/100
Batch 1: loss = 0.8523898124694824, acc = 0.73828125
Batch 2: loss = 0.758184552192688, acc = 0.7421875
Batch 3: loss = 0.6857402324676514, acc = 0.78515625
Batch 4: loss = 0.6883352994918823, acc = 0.7724609375
Batch 5: loss = 0.7447167634963989, acc = 0.744140625
Batch 6: loss = 0.7745835781097412, acc = 0.7578125
Batch 7: loss = 0.6856067180633545, acc = 0.7763671875
Batch 8: loss = 0.6449256539344788, acc = 0.7705078125
Batch 9: loss = 0.5690456628799438, acc = 0.8056640625
Batch 10: loss = 0.5832712650299072, acc = 0.802734375
Batch 11: loss = 0.6722185611724854, acc = 0.7724609375
Batch 12: loss = 0.6624585390090942, acc = 0.7763671875
Batch 13: loss = 0.6332036256790161, acc = 0.7958984375
Batch 14: loss = 0.6455694437026978, acc = 0.7900390625
Batch 15: loss = 0.6249418258666992, acc = 0.8037109375
Batch 16: loss = 0.663908839225769, acc = 0.7822265625
Batch 17: loss = 0.6673697233200073, acc = 0.78515625
Batch 18: loss = 0.6808810830116272, acc = 0.78515625
Batch 19: loss = 0.6169291138648987, acc = 0.798828125
Batch 20: loss = 0.6486978530883789, acc = 0.7744140625
Batch 21: loss = 0.685989499092102, acc = 0.7666015625
Batch 22: loss = 0.6180756688117981, acc = 0.7958984375
Batch 23: loss = 0.6503763198852539, acc = 0.7705078125
Batch 24: loss = 0.6056236028671265, acc = 0.8017578125
Batch 25: loss = 0.5992589592933655, acc = 0.8134765625
Batch 26: loss = 0.6016527414321899, acc = 0.7939453125
Batch 27: loss = 0.7490971684455872, acc = 0.7607421875
Batch 28: loss = 0.6880396008491516, acc = 0.7861328125
Batch 29: loss = 0.676667332649231, acc = 0.771484375
Batch 30: loss = 0.5782190561294556, acc = 0.802734375
Batch 31: loss = 0.6958134174346924, acc = 0.7822265625
Batch 32: loss = 0.74268639087677, acc = 0.7578125
Batch 33: loss = 0.6089564561843872, acc = 0.796875
Batch 34: loss = 0.6595373153686523, acc = 0.779296875
Batch 35: loss = 0.6182463765144348, acc = 0.7998046875
Batch 36: loss = 0.6050353646278381, acc = 0.8095703125
Batch 37: loss = 0.5850492715835571, acc = 0.8115234375
Batch 38: loss = 0.6690478324890137, acc = 0.775390625
Batch 39: loss = 0.6540791988372803, acc = 0.7783203125
Batch 40: loss = 0.6353768110275269, acc = 0.78125
Batch 41: loss = 0.6000810861587524, acc = 0.794921875
Batch 42: loss = 0.6135078072547913, acc = 0.79296875
Batch 43: loss = 0.6470334529876709, acc = 0.7802734375
Batch 44: loss = 0.5694268345832825, acc = 0.8056640625
Batch 45: loss = 0.5517829656600952, acc = 0.8203125
Batch 46: loss = 0.5737147331237793, acc = 0.814453125
Batch 47: loss = 0.6110249757766724, acc = 0.80078125
Batch 48: loss = 0.6008130311965942, acc = 0.8017578125
Batch 49: loss = 0.5669363141059875, acc = 0.822265625
Batch 50: loss = 0.5888567566871643, acc = 0.8076171875
Batch 51: loss = 0.5762336850166321, acc = 0.8046875
Batch 52: loss = 0.6527957916259766, acc = 0.787109375
Batch 53: loss = 0.6259152293205261, acc = 0.7880859375
Batch 54: loss = 0.5113933086395264, acc = 0.83203125
Batch 55: loss = 0.5607179999351501, acc = 0.8076171875
Batch 56: loss = 0.598902702331543, acc = 0.798828125
Batch 57: loss = 0.6686011552810669, acc = 0.76171875
Batch 58: loss = 0.6867982149124146, acc = 0.7607421875
Batch 59: loss = 0.5207805633544922, acc = 0.8310546875
Batch 60: loss = 0.6309576034545898, acc = 0.7890625
Batch 61: loss = 0.6040689945220947, acc = 0.8056640625
Batch 62: loss = 0.7566282749176025, acc = 0.75390625
Batch 63: loss = 0.6708171367645264, acc = 0.7841796875
Batch 64: loss = 0.572033166885376, acc = 0.81640625
Batch 65: loss = 0.6501936912536621, acc = 0.7822265625
Batch 66: loss = 0.6292526125907898, acc = 0.787109375
Batch 67: loss = 0.5863423347473145, acc = 0.7978515625
Batch 68: loss = 0.6525472402572632, acc = 0.7958984375
Batch 69: loss = 0.5763313174247742, acc = 0.8095703125
Batch 70: loss = 0.7275530695915222, acc = 0.7568359375
Batch 71: loss = 0.6383548974990845, acc = 0.7939453125
Batch 72: loss = 0.5835375785827637, acc = 0.8115234375
Batch 73: loss = 0.6760506629943848, acc = 0.787109375
Batch 74: loss = 0.6786980628967285, acc = 0.771484375
Batch 75: loss = 0.7943747639656067, acc = 0.7255859375
Batch 76: loss = 0.6813820600509644, acc = 0.763671875
Batch 77: loss = 0.6271528005599976, acc = 0.7919921875
Batch 78: loss = 0.6293240189552307, acc = 0.7900390625
Batch 79: loss = 0.5796382427215576, acc = 0.7998046875
Batch 80: loss = 0.5973289012908936, acc = 0.7841796875
Batch 81: loss = 0.6316437125205994, acc = 0.791015625
Batch 82: loss = 0.554332435131073, acc = 0.8134765625
Batch 83: loss = 0.6407284140586853, acc = 0.798828125
Batch 84: loss = 0.6528762578964233, acc = 0.7919921875
Batch 85: loss = 0.7294345498085022, acc = 0.7548828125
Batch 86: loss = 0.6475073099136353, acc = 0.787109375
Batch 87: loss = 0.6420642733573914, acc = 0.787109375
Batch 88: loss = 0.7218384146690369, acc = 0.75
Batch 89: loss = 0.616835355758667, acc = 0.8056640625
Batch 90: loss = 0.6902641654014587, acc = 0.7861328125
Batch 91: loss = 0.6832082867622375, acc = 0.7685546875
Batch 92: loss = 0.6438825130462646, acc = 0.79296875
Batch 93: loss = 0.5218977928161621, acc = 0.8359375
Batch 94: loss = 0.570003867149353, acc = 0.8173828125
Batch 95: loss = 0.6301577091217041, acc = 0.791015625
Batch 96: loss = 0.6860473155975342, acc = 0.7724609375
Batch 97: loss = 0.6433041095733643, acc = 0.7890625
Batch 98: loss = 0.6458089351654053, acc = 0.779296875
Batch 99: loss = 0.6265000104904175, acc = 0.7880859375
Batch 100: loss = 0.6573748588562012, acc = 0.7763671875
Batch 101: loss = 0.6439173221588135, acc = 0.7880859375
Batch 102: loss = 0.6772706508636475, acc = 0.7763671875
Batch 103: loss = 0.6455219388008118, acc = 0.7841796875
Batch 104: loss = 0.603507399559021, acc = 0.796875
Batch 105: loss = 0.6174477934837341, acc = 0.798828125
Batch 106: loss = 0.6386395692825317, acc = 0.79296875
Batch 107: loss = 0.6171823740005493, acc = 0.7978515625
Batch 108: loss = 0.6505650877952576, acc = 0.775390625
Batch 109: loss = 0.6484098434448242, acc = 0.7900390625
Batch 110: loss = 0.5946721434593201, acc = 0.8017578125
Batch 111: loss = 0.6953477263450623, acc = 0.7724609375
Batch 112: loss = 0.6362332105636597, acc = 0.794921875
Batch 113: loss = 0.6634505987167358, acc = 0.7802734375
Batch 114: loss = 0.6930505037307739, acc = 0.7724609375
Batch 115: loss = 0.6725760698318481, acc = 0.7822265625
Batch 116: loss = 0.7454243898391724, acc = 0.751953125
Batch 117: loss = 0.5790873765945435, acc = 0.8134765625
Batch 118: loss = 0.5838156938552856, acc = 0.810546875
Batch 119: loss = 0.6495656967163086, acc = 0.7744140625
Batch 120: loss = 0.6202326416969299, acc = 0.7919921875
Batch 121: loss = 0.6370148658752441, acc = 0.796875
Batch 122: loss = 0.5979137420654297, acc = 0.8095703125
Batch 123: loss = 0.6371313333511353, acc = 0.79296875
Batch 124: loss = 0.6676186323165894, acc = 0.775390625
Batch 125: loss = 0.6759930849075317, acc = 0.7666015625
Batch 126: loss = 0.6705224514007568, acc = 0.791015625

Epoch 35/100
Batch 1: loss = 0.832493782043457, acc = 0.7412109375
Batch 2: loss = 0.7537293434143066, acc = 0.75
Batch 3: loss = 0.6576609015464783, acc = 0.7763671875
Batch 4: loss = 0.623790979385376, acc = 0.7880859375
Batch 5: loss = 0.6942702531814575, acc = 0.7919921875
Batch 6: loss = 0.7304395437240601, acc = 0.765625
Batch 7: loss = 0.6433107256889343, acc = 0.7958984375
Batch 8: loss = 0.6346907019615173, acc = 0.7763671875
Batch 9: loss = 0.5771747827529907, acc = 0.8056640625
Batch 10: loss = 0.5366173982620239, acc = 0.82421875
Batch 11: loss = 0.6687238812446594, acc = 0.7890625
Batch 12: loss = 0.6468452215194702, acc = 0.7861328125
Batch 13: loss = 0.6059607267379761, acc = 0.791015625
Batch 14: loss = 0.6326978206634521, acc = 0.796875
Batch 15: loss = 0.5997846722602844, acc = 0.8017578125
Batch 16: loss = 0.6489803791046143, acc = 0.794921875
Batch 17: loss = 0.6455562114715576, acc = 0.8076171875
Batch 18: loss = 0.6705463528633118, acc = 0.7802734375
Batch 19: loss = 0.596123456954956, acc = 0.8115234375
Batch 20: loss = 0.6257015466690063, acc = 0.7861328125
Batch 21: loss = 0.6508307456970215, acc = 0.779296875
Batch 22: loss = 0.5964044332504272, acc = 0.798828125
Batch 23: loss = 0.6677695512771606, acc = 0.7607421875
Batch 24: loss = 0.604318380355835, acc = 0.791015625
Batch 25: loss = 0.616436243057251, acc = 0.79296875
Batch 26: loss = 0.5661520957946777, acc = 0.80859375
Batch 27: loss = 0.7265782356262207, acc = 0.7529296875
Batch 28: loss = 0.6852161288261414, acc = 0.771484375
Batch 29: loss = 0.6552420854568481, acc = 0.77734375
Batch 30: loss = 0.5942891836166382, acc = 0.7919921875
Batch 31: loss = 0.7016991972923279, acc = 0.7685546875
Batch 32: loss = 0.7023011445999146, acc = 0.7744140625
Batch 33: loss = 0.6012755036354065, acc = 0.8056640625
Batch 34: loss = 0.6206774711608887, acc = 0.7783203125
Batch 35: loss = 0.604450523853302, acc = 0.798828125
Batch 36: loss = 0.5917185544967651, acc = 0.8017578125
Batch 37: loss = 0.6027165651321411, acc = 0.7978515625
Batch 38: loss = 0.6124318838119507, acc = 0.7890625
Batch 39: loss = 0.6299567222595215, acc = 0.791015625
Batch 40: loss = 0.64176344871521, acc = 0.7763671875
Batch 41: loss = 0.5723804235458374, acc = 0.794921875
Batch 42: loss = 0.6004403233528137, acc = 0.7890625
Batch 43: loss = 0.6518154144287109, acc = 0.7841796875
Batch 44: loss = 0.5255779027938843, acc = 0.822265625
Batch 45: loss = 0.5277130603790283, acc = 0.830078125
Batch 46: loss = 0.5821184515953064, acc = 0.810546875
Batch 47: loss = 0.5979642868041992, acc = 0.8017578125
Batch 48: loss = 0.5979764461517334, acc = 0.802734375
Batch 49: loss = 0.542915940284729, acc = 0.8212890625
Batch 50: loss = 0.5501365661621094, acc = 0.826171875
Batch 51: loss = 0.5634925365447998, acc = 0.8056640625
Batch 52: loss = 0.6238575577735901, acc = 0.7841796875
Batch 53: loss = 0.6530865430831909, acc = 0.78125
Batch 54: loss = 0.5345637798309326, acc = 0.818359375
Batch 55: loss = 0.5337836742401123, acc = 0.81640625
Batch 56: loss = 0.6187434792518616, acc = 0.78125
Batch 57: loss = 0.6958235502243042, acc = 0.7685546875
Batch 58: loss = 0.6632148027420044, acc = 0.779296875
Batch 59: loss = 0.4795626997947693, acc = 0.8486328125
Batch 60: loss = 0.6107884049415588, acc = 0.7978515625
Batch 61: loss = 0.5945238471031189, acc = 0.794921875
Batch 62: loss = 0.7421448230743408, acc = 0.7578125
Batch 63: loss = 0.6403553485870361, acc = 0.7880859375
Batch 64: loss = 0.5191763043403625, acc = 0.828125
Batch 65: loss = 0.6381186246871948, acc = 0.779296875
Batch 66: loss = 0.6211428046226501, acc = 0.78125
Batch 67: loss = 0.5679534077644348, acc = 0.80078125
Batch 68: loss = 0.6361461877822876, acc = 0.7919921875
Batch 69: loss = 0.5480311512947083, acc = 0.8115234375
Batch 70: loss = 0.675086259841919, acc = 0.7734375
Batch 71: loss = 0.6240279674530029, acc = 0.78515625
Batch 72: loss = 0.5744308829307556, acc = 0.8154296875
Batch 73: loss = 0.6758838891983032, acc = 0.7802734375
Batch 74: loss = 0.669836163520813, acc = 0.77734375
Batch 75: loss = 0.7527649998664856, acc = 0.751953125
Batch 76: loss = 0.6832335591316223, acc = 0.7763671875
Batch 77: loss = 0.6021738052368164, acc = 0.8056640625
Batch 78: loss = 0.6213972568511963, acc = 0.7958984375
Batch 79: loss = 0.5502421259880066, acc = 0.826171875
Batch 80: loss = 0.5847085118293762, acc = 0.8017578125
Batch 81: loss = 0.6141334772109985, acc = 0.7919921875
Batch 82: loss = 0.571552038192749, acc = 0.8212890625
Batch 83: loss = 0.6109035015106201, acc = 0.7958984375
Batch 84: loss = 0.6426208019256592, acc = 0.7783203125
Batch 85: loss = 0.7161425352096558, acc = 0.775390625
Batch 86: loss = 0.6490024328231812, acc = 0.791015625
Batch 87: loss = 0.6058923602104187, acc = 0.7998046875
Batch 88: loss = 0.728634238243103, acc = 0.763671875
Batch 89: loss = 0.6206403970718384, acc = 0.7998046875
Batch 90: loss = 0.6609123945236206, acc = 0.7900390625
Batch 91: loss = 0.6654244661331177, acc = 0.76953125
Batch 92: loss = 0.6628504395484924, acc = 0.7802734375
Batch 93: loss = 0.5025889277458191, acc = 0.8330078125
Batch 94: loss = 0.6056100130081177, acc = 0.8037109375
Batch 95: loss = 0.626650869846344, acc = 0.78125
Batch 96: loss = 0.6752250790596008, acc = 0.7685546875
Batch 97: loss = 0.6300318241119385, acc = 0.7919921875
Batch 98: loss = 0.6179921627044678, acc = 0.7958984375
Batch 99: loss = 0.6094882488250732, acc = 0.8046875
Batch 100: loss = 0.6597933173179626, acc = 0.775390625
Batch 101: loss = 0.6325938701629639, acc = 0.8037109375
Batch 102: loss = 0.6425206661224365, acc = 0.791015625
Batch 103: loss = 0.6063052415847778, acc = 0.8076171875
Batch 104: loss = 0.6037158966064453, acc = 0.7900390625
Batch 105: loss = 0.5978912115097046, acc = 0.806640625
Batch 106: loss = 0.6344454288482666, acc = 0.78515625
Batch 107: loss = 0.6057091355323792, acc = 0.798828125
Batch 108: loss = 0.6097580194473267, acc = 0.7978515625
Batch 109: loss = 0.6119945645332336, acc = 0.7958984375
Batch 110: loss = 0.549530029296875, acc = 0.8154296875
Batch 111: loss = 0.6948748230934143, acc = 0.7734375
Batch 112: loss = 0.6213090419769287, acc = 0.791015625
Batch 113: loss = 0.6633566617965698, acc = 0.7734375
Batch 114: loss = 0.650200605392456, acc = 0.794921875
Batch 115: loss = 0.6427292227745056, acc = 0.7724609375
Batch 116: loss = 0.6977881193161011, acc = 0.77734375
Batch 117: loss = 0.590258777141571, acc = 0.7998046875
Batch 118: loss = 0.5590004920959473, acc = 0.8203125
Batch 119: loss = 0.6078317165374756, acc = 0.802734375
Batch 120: loss = 0.5981190204620361, acc = 0.7978515625
Batch 121: loss = 0.6107009053230286, acc = 0.7998046875
Batch 122: loss = 0.5734962821006775, acc = 0.8095703125
Batch 123: loss = 0.5991324186325073, acc = 0.810546875
Batch 124: loss = 0.6702018976211548, acc = 0.7646484375
Batch 125: loss = 0.6501708626747131, acc = 0.783203125
Batch 126: loss = 0.6260650753974915, acc = 0.802734375

Epoch 36/100
Batch 1: loss = 0.7912273406982422, acc = 0.765625
Batch 2: loss = 0.7184609174728394, acc = 0.7666015625
Batch 3: loss = 0.6359138488769531, acc = 0.8046875
Batch 4: loss = 0.6422910094261169, acc = 0.7998046875
Batch 5: loss = 0.7093764543533325, acc = 0.765625
Batch 6: loss = 0.7005128860473633, acc = 0.75
Batch 7: loss = 0.6280744075775146, acc = 0.806640625
Batch 8: loss = 0.6315625905990601, acc = 0.8017578125
Batch 9: loss = 0.5795692205429077, acc = 0.798828125
Batch 10: loss = 0.5552680492401123, acc = 0.8115234375
Batch 11: loss = 0.6414811611175537, acc = 0.7998046875
Batch 12: loss = 0.6355788707733154, acc = 0.787109375
Batch 13: loss = 0.5878308415412903, acc = 0.814453125
Batch 14: loss = 0.5927108526229858, acc = 0.796875
Batch 15: loss = 0.6112352609634399, acc = 0.7958984375
Batch 16: loss = 0.6539285182952881, acc = 0.7744140625
Batch 17: loss = 0.6412279605865479, acc = 0.794921875
Batch 18: loss = 0.6671755313873291, acc = 0.7744140625
Batch 19: loss = 0.5901056528091431, acc = 0.8076171875
Batch 20: loss = 0.6282610893249512, acc = 0.794921875
Batch 21: loss = 0.6669310331344604, acc = 0.7724609375
Batch 22: loss = 0.5939972400665283, acc = 0.8017578125
Batch 23: loss = 0.6455508470535278, acc = 0.7724609375
Batch 24: loss = 0.5703794956207275, acc = 0.8056640625
Batch 25: loss = 0.5960029363632202, acc = 0.7900390625
Batch 26: loss = 0.5711619853973389, acc = 0.8076171875
Batch 27: loss = 0.7046576738357544, acc = 0.7685546875
Batch 28: loss = 0.6869932413101196, acc = 0.775390625
Batch 29: loss = 0.6260584592819214, acc = 0.7900390625
Batch 30: loss = 0.6096776127815247, acc = 0.791015625
Batch 31: loss = 0.6689412593841553, acc = 0.76953125
Batch 32: loss = 0.7333006858825684, acc = 0.7578125
Batch 33: loss = 0.5906983017921448, acc = 0.8154296875
Batch 34: loss = 0.6344262957572937, acc = 0.7890625
Batch 35: loss = 0.5989694595336914, acc = 0.8056640625
Batch 36: loss = 0.5726144313812256, acc = 0.8232421875
Batch 37: loss = 0.5760098099708557, acc = 0.8154296875
Batch 38: loss = 0.6233109831809998, acc = 0.7978515625
Batch 39: loss = 0.6369417905807495, acc = 0.794921875
Batch 40: loss = 0.6263881325721741, acc = 0.7978515625
Batch 41: loss = 0.5608232021331787, acc = 0.822265625
Batch 42: loss = 0.6060807108879089, acc = 0.7978515625
Batch 43: loss = 0.6251382827758789, acc = 0.783203125
Batch 44: loss = 0.5270335078239441, acc = 0.8232421875
Batch 45: loss = 0.5263391733169556, acc = 0.830078125
Batch 46: loss = 0.5500701665878296, acc = 0.810546875
Batch 47: loss = 0.5855494141578674, acc = 0.8203125
Batch 48: loss = 0.5825825333595276, acc = 0.8056640625
Batch 49: loss = 0.5050036311149597, acc = 0.84765625
Batch 50: loss = 0.5451976656913757, acc = 0.8193359375
Batch 51: loss = 0.5526369214057922, acc = 0.8046875
Batch 52: loss = 0.6318641304969788, acc = 0.802734375
Batch 53: loss = 0.6338337063789368, acc = 0.7919921875
Batch 54: loss = 0.4874069392681122, acc = 0.833984375
Batch 55: loss = 0.5490522980690002, acc = 0.81640625
Batch 56: loss = 0.5778247714042664, acc = 0.7978515625
Batch 57: loss = 0.6539720296859741, acc = 0.7783203125
Batch 58: loss = 0.6532537937164307, acc = 0.78125
Batch 59: loss = 0.49640682339668274, acc = 0.830078125
Batch 60: loss = 0.6086072325706482, acc = 0.7958984375
Batch 61: loss = 0.5668792724609375, acc = 0.81640625
Batch 62: loss = 0.7502434849739075, acc = 0.7548828125
Batch 63: loss = 0.6516680121421814, acc = 0.7880859375
Batch 64: loss = 0.5242458581924438, acc = 0.830078125
Batch 65: loss = 0.6051602363586426, acc = 0.7958984375
Batch 66: loss = 0.560865044593811, acc = 0.8193359375
Batch 67: loss = 0.5562796592712402, acc = 0.7978515625
Batch 68: loss = 0.5941691994667053, acc = 0.80859375
Batch 69: loss = 0.5413700342178345, acc = 0.814453125
Batch 70: loss = 0.6960145831108093, acc = 0.765625
Batch 71: loss = 0.5892002582550049, acc = 0.794921875
Batch 72: loss = 0.5663356781005859, acc = 0.80859375
Batch 73: loss = 0.6708709001541138, acc = 0.78125
Batch 74: loss = 0.6548209190368652, acc = 0.77734375
Batch 75: loss = 0.7538602352142334, acc = 0.74609375
Batch 76: loss = 0.6647530794143677, acc = 0.7861328125
Batch 77: loss = 0.6183358430862427, acc = 0.78515625
Batch 78: loss = 0.5868872404098511, acc = 0.8115234375
Batch 79: loss = 0.5404786467552185, acc = 0.8154296875
Batch 80: loss = 0.5653644800186157, acc = 0.79296875
Batch 81: loss = 0.6108021140098572, acc = 0.7939453125
Batch 82: loss = 0.5353814363479614, acc = 0.826171875
Batch 83: loss = 0.5808746218681335, acc = 0.8056640625
Batch 84: loss = 0.5983507037162781, acc = 0.794921875
Batch 85: loss = 0.7067248225212097, acc = 0.765625
Batch 86: loss = 0.6123446226119995, acc = 0.7890625
Batch 87: loss = 0.622988224029541, acc = 0.798828125
Batch 88: loss = 0.6773084402084351, acc = 0.7783203125
Batch 89: loss = 0.6172531843185425, acc = 0.8173828125
Batch 90: loss = 0.6505709886550903, acc = 0.783203125
Batch 91: loss = 0.6840658187866211, acc = 0.7763671875
Batch 92: loss = 0.6712444424629211, acc = 0.7900390625
Batch 93: loss = 0.4943910837173462, acc = 0.84375
Batch 94: loss = 0.5527205467224121, acc = 0.8095703125
Batch 95: loss = 0.5928612351417542, acc = 0.8056640625
Batch 96: loss = 0.6564542055130005, acc = 0.7822265625
Batch 97: loss = 0.6182354092597961, acc = 0.8017578125
Batch 98: loss = 0.5967806577682495, acc = 0.8076171875
Batch 99: loss = 0.5939781069755554, acc = 0.796875
Batch 100: loss = 0.6292244791984558, acc = 0.7919921875
Batch 101: loss = 0.6169090270996094, acc = 0.7802734375
Batch 102: loss = 0.6235685348510742, acc = 0.7890625
Batch 103: loss = 0.6065913438796997, acc = 0.8076171875
Batch 104: loss = 0.5682976245880127, acc = 0.8095703125
Batch 105: loss = 0.5858312845230103, acc = 0.7998046875
Batch 106: loss = 0.6441330909729004, acc = 0.779296875
Batch 107: loss = 0.6085426807403564, acc = 0.794921875
Batch 108: loss = 0.5997436046600342, acc = 0.7880859375
Batch 109: loss = 0.5979940891265869, acc = 0.8056640625
Batch 110: loss = 0.5520477294921875, acc = 0.81640625
Batch 111: loss = 0.6617072820663452, acc = 0.787109375
Batch 112: loss = 0.5971493124961853, acc = 0.80078125
Batch 113: loss = 0.6246140003204346, acc = 0.7890625
Batch 114: loss = 0.6667101383209229, acc = 0.7744140625
Batch 115: loss = 0.6387990713119507, acc = 0.7978515625
Batch 116: loss = 0.7080014944076538, acc = 0.765625
Batch 117: loss = 0.5557841062545776, acc = 0.8203125
Batch 118: loss = 0.5419425964355469, acc = 0.822265625
Batch 119: loss = 0.584283173084259, acc = 0.81640625
Batch 120: loss = 0.603580117225647, acc = 0.796875
Batch 121: loss = 0.6129763722419739, acc = 0.791015625
Batch 122: loss = 0.6076195240020752, acc = 0.802734375
Batch 123: loss = 0.5984873175621033, acc = 0.8046875
Batch 124: loss = 0.6555408835411072, acc = 0.7744140625
Batch 125: loss = 0.6875799894332886, acc = 0.767578125
Batch 126: loss = 0.6379333734512329, acc = 0.794921875

Epoch 37/100
Batch 1: loss = 0.7981539368629456, acc = 0.76171875
Batch 2: loss = 0.6964133977890015, acc = 0.78125
Batch 3: loss = 0.65413498878479, acc = 0.7900390625
Batch 4: loss = 0.6261850595474243, acc = 0.7900390625
Batch 5: loss = 0.6976369619369507, acc = 0.791015625
Batch 6: loss = 0.6893662214279175, acc = 0.7705078125
Batch 7: loss = 0.6260485649108887, acc = 0.8076171875
Batch 8: loss = 0.6032689809799194, acc = 0.8095703125
Batch 9: loss = 0.5533127784729004, acc = 0.82421875
Batch 10: loss = 0.5066126585006714, acc = 0.8427734375
Batch 11: loss = 0.6422381401062012, acc = 0.77734375
Batch 12: loss = 0.6352939605712891, acc = 0.7861328125
Batch 13: loss = 0.5949430465698242, acc = 0.7939453125
Batch 14: loss = 0.6127192974090576, acc = 0.8056640625
Batch 15: loss = 0.5815171599388123, acc = 0.8125
Batch 16: loss = 0.6461471915245056, acc = 0.791015625
Batch 17: loss = 0.6523505449295044, acc = 0.7998046875
Batch 18: loss = 0.6383880376815796, acc = 0.80078125
Batch 19: loss = 0.579416811466217, acc = 0.8251953125
Batch 20: loss = 0.5925033092498779, acc = 0.7890625
Batch 21: loss = 0.6497097015380859, acc = 0.7802734375
Batch 22: loss = 0.5674346089363098, acc = 0.8046875
Batch 23: loss = 0.6064736843109131, acc = 0.7861328125
Batch 24: loss = 0.5840356349945068, acc = 0.80078125
Batch 25: loss = 0.5883463621139526, acc = 0.8056640625
Batch 26: loss = 0.5690634846687317, acc = 0.7958984375
Batch 27: loss = 0.6919585466384888, acc = 0.7626953125
Batch 28: loss = 0.6219589114189148, acc = 0.7919921875
Batch 29: loss = 0.6420235633850098, acc = 0.7861328125
Batch 30: loss = 0.5538678169250488, acc = 0.818359375
Batch 31: loss = 0.6976064443588257, acc = 0.783203125
Batch 32: loss = 0.6997431516647339, acc = 0.7724609375
Batch 33: loss = 0.5726568698883057, acc = 0.802734375
Batch 34: loss = 0.6412051916122437, acc = 0.7880859375
Batch 35: loss = 0.5775535106658936, acc = 0.80859375
Batch 36: loss = 0.5414304733276367, acc = 0.8251953125
Batch 37: loss = 0.5869892835617065, acc = 0.8046875
Batch 38: loss = 0.6123096942901611, acc = 0.8046875
Batch 39: loss = 0.5811953544616699, acc = 0.806640625
Batch 40: loss = 0.6085965037345886, acc = 0.796875
Batch 41: loss = 0.5320079326629639, acc = 0.8173828125
Batch 42: loss = 0.605914831161499, acc = 0.8076171875
Batch 43: loss = 0.6106479167938232, acc = 0.7900390625
Batch 44: loss = 0.5499145984649658, acc = 0.8212890625
Batch 45: loss = 0.5323570966720581, acc = 0.8193359375
Batch 46: loss = 0.5738512277603149, acc = 0.8076171875
Batch 47: loss = 0.5702065229415894, acc = 0.8193359375
Batch 48: loss = 0.566191554069519, acc = 0.8115234375
Batch 49: loss = 0.5226767063140869, acc = 0.8271484375
Batch 50: loss = 0.5359464883804321, acc = 0.81640625
Batch 51: loss = 0.5304806232452393, acc = 0.8203125
Batch 52: loss = 0.5938071608543396, acc = 0.794921875
Batch 53: loss = 0.5945276618003845, acc = 0.8037109375
Batch 54: loss = 0.4792215824127197, acc = 0.8291015625
Batch 55: loss = 0.49224480986595154, acc = 0.83203125
Batch 56: loss = 0.5871618986129761, acc = 0.791015625
Batch 57: loss = 0.6352460980415344, acc = 0.7880859375
Batch 58: loss = 0.6252809166908264, acc = 0.796875
Batch 59: loss = 0.4747268557548523, acc = 0.8447265625
Batch 60: loss = 0.607181966304779, acc = 0.791015625
Batch 61: loss = 0.5693328380584717, acc = 0.814453125
Batch 62: loss = 0.7133022546768188, acc = 0.7587890625
Batch 63: loss = 0.5870180726051331, acc = 0.80078125
Batch 64: loss = 0.48943305015563965, acc = 0.8447265625
Batch 65: loss = 0.611905038356781, acc = 0.810546875
Batch 66: loss = 0.5856596231460571, acc = 0.8017578125
Batch 67: loss = 0.5393077731132507, acc = 0.8173828125
Batch 68: loss = 0.5973206162452698, acc = 0.7978515625
Batch 69: loss = 0.5075541734695435, acc = 0.83203125
Batch 70: loss = 0.6501927375793457, acc = 0.7919921875
Batch 71: loss = 0.6119078397750854, acc = 0.7880859375
Batch 72: loss = 0.5406778454780579, acc = 0.814453125
Batch 73: loss = 0.6801251173019409, acc = 0.7822265625
Batch 74: loss = 0.6536539793014526, acc = 0.7822265625
Batch 75: loss = 0.7207584381103516, acc = 0.75
Batch 76: loss = 0.6498517990112305, acc = 0.7900390625
Batch 77: loss = 0.5648988485336304, acc = 0.8115234375
Batch 78: loss = 0.5653018951416016, acc = 0.8037109375
Batch 79: loss = 0.5033919811248779, acc = 0.8271484375
Batch 80: loss = 0.5224834084510803, acc = 0.828125
Batch 81: loss = 0.5959857702255249, acc = 0.7998046875
Batch 82: loss = 0.5394467711448669, acc = 0.833984375
Batch 83: loss = 0.580286979675293, acc = 0.798828125
Batch 84: loss = 0.591017484664917, acc = 0.7861328125
Batch 85: loss = 0.674014687538147, acc = 0.7744140625
Batch 86: loss = 0.6112148761749268, acc = 0.798828125
Batch 87: loss = 0.5921251177787781, acc = 0.8056640625
Batch 88: loss = 0.7013856172561646, acc = 0.7666015625
Batch 89: loss = 0.5782667398452759, acc = 0.8212890625
Batch 90: loss = 0.6080138683319092, acc = 0.8037109375
Batch 91: loss = 0.6802375316619873, acc = 0.7744140625
Batch 92: loss = 0.6543248891830444, acc = 0.7802734375
Batch 93: loss = 0.511603832244873, acc = 0.841796875
Batch 94: loss = 0.5452728271484375, acc = 0.82421875
Batch 95: loss = 0.6055959463119507, acc = 0.798828125
Batch 96: loss = 0.6586238741874695, acc = 0.77734375
Batch 97: loss = 0.5598781108856201, acc = 0.8193359375
Batch 98: loss = 0.5467996597290039, acc = 0.828125
Batch 99: loss = 0.5868593454360962, acc = 0.8115234375
Batch 100: loss = 0.6141328811645508, acc = 0.7919921875
Batch 101: loss = 0.6017264127731323, acc = 0.8046875
Batch 102: loss = 0.6325889825820923, acc = 0.7861328125
Batch 103: loss = 0.584823727607727, acc = 0.806640625
Batch 104: loss = 0.5347219109535217, acc = 0.81640625
Batch 105: loss = 0.592237114906311, acc = 0.7958984375
Batch 106: loss = 0.592870831489563, acc = 0.8037109375
Batch 107: loss = 0.5839356184005737, acc = 0.80078125
Batch 108: loss = 0.5891342759132385, acc = 0.80078125
Batch 109: loss = 0.6068050265312195, acc = 0.7890625
Batch 110: loss = 0.5532703399658203, acc = 0.8134765625
Batch 111: loss = 0.6459649205207825, acc = 0.78515625
Batch 112: loss = 0.6002597212791443, acc = 0.8046875
Batch 113: loss = 0.6250956058502197, acc = 0.791015625
Batch 114: loss = 0.5989606976509094, acc = 0.80859375
Batch 115: loss = 0.6195749044418335, acc = 0.8017578125
Batch 116: loss = 0.6694463491439819, acc = 0.7900390625
Batch 117: loss = 0.5325734615325928, acc = 0.8193359375
Batch 118: loss = 0.5357877016067505, acc = 0.830078125
Batch 119: loss = 0.5961998701095581, acc = 0.7939453125
Batch 120: loss = 0.5892847776412964, acc = 0.80078125
Batch 121: loss = 0.6094799041748047, acc = 0.8115234375
Batch 122: loss = 0.5478610396385193, acc = 0.8125
Batch 123: loss = 0.6092431545257568, acc = 0.7919921875
Batch 124: loss = 0.6791150569915771, acc = 0.76171875
Batch 125: loss = 0.6605772972106934, acc = 0.7724609375
Batch 126: loss = 0.6238662600517273, acc = 0.798828125

Epoch 38/100
Batch 1: loss = 0.7634176015853882, acc = 0.7734375
Batch 2: loss = 0.7535070776939392, acc = 0.7646484375
Batch 3: loss = 0.65373295545578, acc = 0.8056640625
Batch 4: loss = 0.6066941022872925, acc = 0.80078125
Batch 5: loss = 0.6727828979492188, acc = 0.79296875
Batch 6: loss = 0.6804208755493164, acc = 0.775390625
Batch 7: loss = 0.6112344264984131, acc = 0.806640625
Batch 8: loss = 0.621804416179657, acc = 0.79296875
Batch 9: loss = 0.5320155024528503, acc = 0.8115234375
Batch 10: loss = 0.5182658433914185, acc = 0.8271484375
Batch 11: loss = 0.6405730247497559, acc = 0.791015625
Batch 12: loss = 0.6278854012489319, acc = 0.7802734375
Batch 13: loss = 0.5888142585754395, acc = 0.8076171875
Batch 14: loss = 0.5955120325088501, acc = 0.810546875
Batch 15: loss = 0.5870587825775146, acc = 0.810546875
Batch 16: loss = 0.6455013751983643, acc = 0.7919921875
Batch 17: loss = 0.6249639987945557, acc = 0.8076171875
Batch 18: loss = 0.6254059076309204, acc = 0.8017578125
Batch 19: loss = 0.5739640593528748, acc = 0.822265625
Batch 20: loss = 0.613705039024353, acc = 0.7900390625
Batch 21: loss = 0.6469144821166992, acc = 0.7744140625
Batch 22: loss = 0.561516523361206, acc = 0.810546875
Batch 23: loss = 0.5960193872451782, acc = 0.7919921875
Batch 24: loss = 0.5512341260910034, acc = 0.810546875
Batch 25: loss = 0.5831927061080933, acc = 0.8076171875
Batch 26: loss = 0.5466467142105103, acc = 0.8046875
Batch 27: loss = 0.688646674156189, acc = 0.771484375
Batch 28: loss = 0.6211998462677002, acc = 0.78125
Batch 29: loss = 0.5911445617675781, acc = 0.7998046875
Batch 30: loss = 0.5649307370185852, acc = 0.810546875
Batch 31: loss = 0.6545190215110779, acc = 0.7900390625
Batch 32: loss = 0.6823458671569824, acc = 0.7666015625
Batch 33: loss = 0.5763455629348755, acc = 0.7958984375
Batch 34: loss = 0.6271121501922607, acc = 0.7939453125
Batch 35: loss = 0.573392927646637, acc = 0.8134765625
Batch 36: loss = 0.5432764887809753, acc = 0.8212890625
Batch 37: loss = 0.5531432628631592, acc = 0.8251953125
Batch 38: loss = 0.5888919830322266, acc = 0.8046875
Batch 39: loss = 0.6039121747016907, acc = 0.8037109375
Batch 40: loss = 0.5778045058250427, acc = 0.8154296875
Batch 41: loss = 0.5307481288909912, acc = 0.8212890625
Batch 42: loss = 0.580974817276001, acc = 0.8134765625
Batch 43: loss = 0.608887791633606, acc = 0.791015625
Batch 44: loss = 0.5098347663879395, acc = 0.830078125
Batch 45: loss = 0.5011025667190552, acc = 0.8349609375
Batch 46: loss = 0.5516602993011475, acc = 0.8134765625
Batch 47: loss = 0.5596522092819214, acc = 0.8173828125
Batch 48: loss = 0.5635506510734558, acc = 0.818359375
Batch 49: loss = 0.4937742352485657, acc = 0.8369140625
Batch 50: loss = 0.5267338752746582, acc = 0.8330078125
Batch 51: loss = 0.5208550095558167, acc = 0.83203125
Batch 52: loss = 0.5972756147384644, acc = 0.8046875
Batch 53: loss = 0.5694962739944458, acc = 0.826171875
Batch 54: loss = 0.46628278493881226, acc = 0.8427734375
Batch 55: loss = 0.49887657165527344, acc = 0.83203125
Batch 56: loss = 0.55803382396698, acc = 0.8076171875
Batch 57: loss = 0.6534340381622314, acc = 0.767578125
Batch 58: loss = 0.6375737190246582, acc = 0.7880859375
Batch 59: loss = 0.45315346121788025, acc = 0.8505859375
Batch 60: loss = 0.5721331834793091, acc = 0.8056640625
Batch 61: loss = 0.5297887921333313, acc = 0.8359375
Batch 62: loss = 0.7021396160125732, acc = 0.765625
Batch 63: loss = 0.5918299555778503, acc = 0.7958984375
Batch 64: loss = 0.4664384722709656, acc = 0.83203125
Batch 65: loss = 0.579671323299408, acc = 0.8115234375
Batch 66: loss = 0.5700327754020691, acc = 0.80859375
Batch 67: loss = 0.5204503536224365, acc = 0.8212890625
Batch 68: loss = 0.6093289852142334, acc = 0.7939453125
Batch 69: loss = 0.5147778391838074, acc = 0.826171875
Batch 70: loss = 0.654873788356781, acc = 0.7744140625
Batch 71: loss = 0.5965554714202881, acc = 0.7958984375
Batch 72: loss = 0.5340905785560608, acc = 0.8134765625
Batch 73: loss = 0.6336554288864136, acc = 0.78515625
Batch 74: loss = 0.655188798904419, acc = 0.7861328125
Batch 75: loss = 0.7155569791793823, acc = 0.759765625
Batch 76: loss = 0.649177074432373, acc = 0.7890625
Batch 77: loss = 0.5732291340827942, acc = 0.806640625
Batch 78: loss = 0.6033307909965515, acc = 0.7958984375
Batch 79: loss = 0.5122266411781311, acc = 0.826171875
Batch 80: loss = 0.5461451411247253, acc = 0.8134765625
Batch 81: loss = 0.5517860054969788, acc = 0.81640625
Batch 82: loss = 0.5135135650634766, acc = 0.837890625
Batch 83: loss = 0.5734729766845703, acc = 0.810546875
Batch 84: loss = 0.5831819772720337, acc = 0.802734375
Batch 85: loss = 0.6396386623382568, acc = 0.7919921875
Batch 86: loss = 0.6021069288253784, acc = 0.796875
Batch 87: loss = 0.567660927772522, acc = 0.8154296875
Batch 88: loss = 0.69163978099823, acc = 0.783203125
Batch 89: loss = 0.5844753980636597, acc = 0.81640625
Batch 90: loss = 0.6245504021644592, acc = 0.8046875
Batch 91: loss = 0.6583251953125, acc = 0.7822265625
Batch 92: loss = 0.6371932029724121, acc = 0.79296875
Batch 93: loss = 0.5049071907997131, acc = 0.837890625
Batch 94: loss = 0.5526561737060547, acc = 0.8310546875
Batch 95: loss = 0.5613193511962891, acc = 0.8115234375
Batch 96: loss = 0.6478254199028015, acc = 0.763671875
Batch 97: loss = 0.5917999744415283, acc = 0.8046875
Batch 98: loss = 0.5710247159004211, acc = 0.81640625
Batch 99: loss = 0.5791586637496948, acc = 0.8095703125
Batch 100: loss = 0.620529294013977, acc = 0.7880859375
Batch 101: loss = 0.5738054513931274, acc = 0.8056640625
Batch 102: loss = 0.6178326606750488, acc = 0.794921875
Batch 103: loss = 0.5878403782844543, acc = 0.81640625
Batch 104: loss = 0.541897177696228, acc = 0.8173828125
Batch 105: loss = 0.5526982545852661, acc = 0.810546875
Batch 106: loss = 0.5767867565155029, acc = 0.8193359375
Batch 107: loss = 0.5585326552391052, acc = 0.8095703125
Batch 108: loss = 0.6166880130767822, acc = 0.7939453125
Batch 109: loss = 0.6011626124382019, acc = 0.783203125
Batch 110: loss = 0.5197563171386719, acc = 0.8359375
Batch 111: loss = 0.6354650259017944, acc = 0.7900390625
Batch 112: loss = 0.5853757858276367, acc = 0.810546875
Batch 113: loss = 0.612663209438324, acc = 0.7998046875
Batch 114: loss = 0.5935255289077759, acc = 0.810546875
Batch 115: loss = 0.5952540636062622, acc = 0.8037109375
Batch 116: loss = 0.670951247215271, acc = 0.78125
Batch 117: loss = 0.520032525062561, acc = 0.8349609375
Batch 118: loss = 0.5204389691352844, acc = 0.83203125
Batch 119: loss = 0.6004230976104736, acc = 0.798828125
Batch 120: loss = 0.5594409704208374, acc = 0.8193359375
Batch 121: loss = 0.5755434036254883, acc = 0.7880859375
Batch 122: loss = 0.5548559427261353, acc = 0.8173828125
Batch 123: loss = 0.5810587406158447, acc = 0.8203125
Batch 124: loss = 0.640163004398346, acc = 0.787109375
Batch 125: loss = 0.6510171890258789, acc = 0.791015625
Batch 126: loss = 0.6055994629859924, acc = 0.80859375

Epoch 39/100
Batch 1: loss = 0.7734940648078918, acc = 0.7724609375
Batch 2: loss = 0.6740084290504456, acc = 0.7783203125
Batch 3: loss = 0.6027792692184448, acc = 0.8056640625
Batch 4: loss = 0.6132513284683228, acc = 0.8076171875
Batch 5: loss = 0.6559112071990967, acc = 0.7900390625
Batch 6: loss = 0.6332430839538574, acc = 0.7841796875
Batch 7: loss = 0.5817116498947144, acc = 0.818359375
Batch 8: loss = 0.6020914316177368, acc = 0.8046875
Batch 9: loss = 0.5425201654434204, acc = 0.8251953125
Batch 10: loss = 0.5218688249588013, acc = 0.828125
Batch 11: loss = 0.6468759179115295, acc = 0.7900390625
Batch 12: loss = 0.6134918928146362, acc = 0.7880859375
Batch 13: loss = 0.5603048205375671, acc = 0.81640625
Batch 14: loss = 0.5673857927322388, acc = 0.814453125
Batch 15: loss = 0.5700616836547852, acc = 0.7880859375
Batch 16: loss = 0.6112151741981506, acc = 0.783203125
Batch 17: loss = 0.5641178488731384, acc = 0.8232421875
Batch 18: loss = 0.6333416700363159, acc = 0.7958984375
Batch 19: loss = 0.5765707492828369, acc = 0.8115234375
Batch 20: loss = 0.6077278852462769, acc = 0.791015625
Batch 21: loss = 0.6004660725593567, acc = 0.8095703125
Batch 22: loss = 0.5138022899627686, acc = 0.8212890625
Batch 23: loss = 0.5980814099311829, acc = 0.794921875
Batch 24: loss = 0.5291023850440979, acc = 0.8203125
Batch 25: loss = 0.5590653419494629, acc = 0.802734375
Batch 26: loss = 0.5228535532951355, acc = 0.830078125
Batch 27: loss = 0.6484426259994507, acc = 0.78125
Batch 28: loss = 0.6207420825958252, acc = 0.791015625
Batch 29: loss = 0.5964927673339844, acc = 0.8115234375
Batch 30: loss = 0.533955454826355, acc = 0.810546875
Batch 31: loss = 0.6244125366210938, acc = 0.8017578125
Batch 32: loss = 0.6755366325378418, acc = 0.7744140625
Batch 33: loss = 0.5869800448417664, acc = 0.79296875
Batch 34: loss = 0.6011145114898682, acc = 0.7939453125
Batch 35: loss = 0.5779554843902588, acc = 0.80859375
Batch 36: loss = 0.5819323062896729, acc = 0.8076171875
Batch 37: loss = 0.5700032711029053, acc = 0.8212890625
Batch 38: loss = 0.563226044178009, acc = 0.818359375
Batch 39: loss = 0.5498991012573242, acc = 0.8193359375
Batch 40: loss = 0.6216256022453308, acc = 0.787109375
Batch 41: loss = 0.544730544090271, acc = 0.80859375
Batch 42: loss = 0.555921196937561, acc = 0.8095703125
Batch 43: loss = 0.5928831100463867, acc = 0.7958984375
Batch 44: loss = 0.5167385935783386, acc = 0.8271484375
Batch 45: loss = 0.5600911378860474, acc = 0.7978515625
Batch 46: loss = 0.5268828868865967, acc = 0.8046875
Batch 47: loss = 0.5413546562194824, acc = 0.8173828125
Batch 48: loss = 0.5337616205215454, acc = 0.8232421875
Batch 49: loss = 0.5020755529403687, acc = 0.853515625
Batch 50: loss = 0.5213971138000488, acc = 0.826171875
Batch 51: loss = 0.5283123254776001, acc = 0.8115234375
Batch 52: loss = 0.5841302871704102, acc = 0.8095703125
Batch 53: loss = 0.5894677639007568, acc = 0.810546875
Batch 54: loss = 0.4578102231025696, acc = 0.8525390625
Batch 55: loss = 0.48659393191337585, acc = 0.830078125
Batch 56: loss = 0.5555791854858398, acc = 0.806640625
Batch 57: loss = 0.6154569983482361, acc = 0.775390625
Batch 58: loss = 0.6020772457122803, acc = 0.796875
Batch 59: loss = 0.45475101470947266, acc = 0.83984375
Batch 60: loss = 0.5710573792457581, acc = 0.8017578125
Batch 61: loss = 0.5289478898048401, acc = 0.828125
Batch 62: loss = 0.6481958627700806, acc = 0.7861328125
Batch 63: loss = 0.5777348279953003, acc = 0.8095703125
Batch 64: loss = 0.4810214936733246, acc = 0.841796875
Batch 65: loss = 0.6054297685623169, acc = 0.794921875
Batch 66: loss = 0.5429177284240723, acc = 0.8154296875
Batch 67: loss = 0.5250700116157532, acc = 0.8154296875
Batch 68: loss = 0.5714090466499329, acc = 0.8037109375
Batch 69: loss = 0.5031157732009888, acc = 0.8310546875
Batch 70: loss = 0.6007702946662903, acc = 0.8076171875
Batch 71: loss = 0.5697486400604248, acc = 0.8115234375
Batch 72: loss = 0.5190271139144897, acc = 0.8271484375
Batch 73: loss = 0.6104885935783386, acc = 0.8095703125
Batch 74: loss = 0.6457892656326294, acc = 0.7705078125
Batch 75: loss = 0.690595269203186, acc = 0.7646484375
Batch 76: loss = 0.6061049699783325, acc = 0.8017578125
Batch 77: loss = 0.5550951957702637, acc = 0.8125
Batch 78: loss = 0.5674389004707336, acc = 0.83203125
Batch 79: loss = 0.5209141969680786, acc = 0.8193359375
Batch 80: loss = 0.5398392677307129, acc = 0.8115234375
Batch 81: loss = 0.5592861175537109, acc = 0.81640625
Batch 82: loss = 0.510854959487915, acc = 0.83984375
Batch 83: loss = 0.5551109313964844, acc = 0.8134765625
Batch 84: loss = 0.5567376613616943, acc = 0.814453125
Batch 85: loss = 0.6410968899726868, acc = 0.7880859375
Batch 86: loss = 0.5797933340072632, acc = 0.806640625
Batch 87: loss = 0.572163462638855, acc = 0.802734375
Batch 88: loss = 0.6402134895324707, acc = 0.7978515625
Batch 89: loss = 0.5578470230102539, acc = 0.8203125
Batch 90: loss = 0.6060115694999695, acc = 0.796875
Batch 91: loss = 0.588044285774231, acc = 0.802734375
Batch 92: loss = 0.6450467109680176, acc = 0.794921875
Batch 93: loss = 0.49358057975769043, acc = 0.837890625
Batch 94: loss = 0.5321844816207886, acc = 0.83203125
Batch 95: loss = 0.5679716467857361, acc = 0.810546875
Batch 96: loss = 0.6254374980926514, acc = 0.7841796875
Batch 97: loss = 0.5644028186798096, acc = 0.822265625
Batch 98: loss = 0.559778094291687, acc = 0.8154296875
Batch 99: loss = 0.6063535809516907, acc = 0.794921875
Batch 100: loss = 0.6038696765899658, acc = 0.78125
Batch 101: loss = 0.5877705812454224, acc = 0.8017578125
Batch 102: loss = 0.6089559197425842, acc = 0.7958984375
Batch 103: loss = 0.5782267451286316, acc = 0.8125
Batch 104: loss = 0.5256299376487732, acc = 0.8125
Batch 105: loss = 0.5444743037223816, acc = 0.8134765625
Batch 106: loss = 0.5628299713134766, acc = 0.81640625
Batch 107: loss = 0.552879810333252, acc = 0.814453125
Batch 108: loss = 0.5510674715042114, acc = 0.8134765625
Batch 109: loss = 0.5689254999160767, acc = 0.8046875
Batch 110: loss = 0.4988400936126709, acc = 0.83203125
Batch 111: loss = 0.6442515850067139, acc = 0.787109375
Batch 112: loss = 0.5786826610565186, acc = 0.8115234375
Batch 113: loss = 0.6011383533477783, acc = 0.8076171875
Batch 114: loss = 0.6127256155014038, acc = 0.796875
Batch 115: loss = 0.6291395425796509, acc = 0.7900390625
Batch 116: loss = 0.6819183826446533, acc = 0.763671875
Batch 117: loss = 0.5199211835861206, acc = 0.826171875
Batch 118: loss = 0.5404912233352661, acc = 0.8271484375
Batch 119: loss = 0.581671416759491, acc = 0.8125
Batch 120: loss = 0.575232982635498, acc = 0.8037109375
Batch 121: loss = 0.5558016300201416, acc = 0.8154296875
Batch 122: loss = 0.5419210195541382, acc = 0.8251953125
Batch 123: loss = 0.5597429275512695, acc = 0.828125
Batch 124: loss = 0.6132470965385437, acc = 0.787109375
Batch 125: loss = 0.6057524681091309, acc = 0.796875
Batch 126: loss = 0.6302692890167236, acc = 0.796875

Epoch 40/100
Batch 1: loss = 0.7600011825561523, acc = 0.7568359375
Batch 2: loss = 0.6812423467636108, acc = 0.775390625
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Batch 125: loss = 0.5991641879081726, acc = 0.7998046875
Batch 126: loss = 0.574962854385376, acc = 0.8056640625
Saved checkpoint to weights.40.h5

Epoch 41/100
Batch 1: loss = 0.7442315220832825, acc = 0.7705078125
Batch 2: loss = 0.6534814834594727, acc = 0.7822265625
Batch 3: loss = 0.613646388053894, acc = 0.814453125
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Batch 6: loss = 0.6421548128128052, acc = 0.7841796875
Batch 7: loss = 0.5758179426193237, acc = 0.8076171875
Batch 8: loss = 0.5652170181274414, acc = 0.818359375
Batch 9: loss = 0.48342999815940857, acc = 0.8408203125
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Batch 12: loss = 0.5971920490264893, acc = 0.79296875
Batch 13: loss = 0.5509176254272461, acc = 0.8173828125
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Batch 115: loss = 0.5648971796035767, acc = 0.818359375
Batch 116: loss = 0.6127987504005432, acc = 0.796875
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Batch 120: loss = 0.5061754584312439, acc = 0.830078125
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Batch 125: loss = 0.5776717066764832, acc = 0.8046875
Batch 126: loss = 0.5787633657455444, acc = 0.8212890625

Epoch 42/100
Batch 1: loss = 0.7316863536834717, acc = 0.7763671875
Batch 2: loss = 0.6232150793075562, acc = 0.7890625
Batch 3: loss = 0.564201831817627, acc = 0.8212890625
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Batch 24: loss = 0.5238108038902283, acc = 0.8232421875
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Batch 77: loss = 0.5157085657119751, acc = 0.810546875
Batch 78: loss = 0.539604127407074, acc = 0.8212890625
Batch 79: loss = 0.4655945897102356, acc = 0.8447265625
Batch 80: loss = 0.48364490270614624, acc = 0.8291015625
Batch 81: loss = 0.5334086418151855, acc = 0.830078125
Batch 82: loss = 0.4959484338760376, acc = 0.841796875
Batch 83: loss = 0.5323820114135742, acc = 0.814453125
Batch 84: loss = 0.5272789597511292, acc = 0.8310546875
Batch 85: loss = 0.6326436996459961, acc = 0.8017578125
Batch 86: loss = 0.5341334342956543, acc = 0.8271484375
Batch 87: loss = 0.5208076238632202, acc = 0.826171875
Batch 88: loss = 0.6027637720108032, acc = 0.814453125
Batch 89: loss = 0.5200883746147156, acc = 0.830078125
Batch 90: loss = 0.5817610621452332, acc = 0.802734375
Batch 91: loss = 0.6120210886001587, acc = 0.78515625
Batch 92: loss = 0.5634966492652893, acc = 0.8232421875
Batch 93: loss = 0.4592409133911133, acc = 0.8564453125
Batch 94: loss = 0.4855642020702362, acc = 0.8486328125
Batch 95: loss = 0.5379166603088379, acc = 0.826171875
Batch 96: loss = 0.587350606918335, acc = 0.8017578125
Batch 97: loss = 0.5674744844436646, acc = 0.810546875
Batch 98: loss = 0.5135637521743774, acc = 0.8369140625
Batch 99: loss = 0.5448719263076782, acc = 0.8212890625
Batch 100: loss = 0.577733039855957, acc = 0.79296875
Batch 101: loss = 0.5479022264480591, acc = 0.8193359375
Batch 102: loss = 0.571926474571228, acc = 0.8193359375
Batch 103: loss = 0.5642051100730896, acc = 0.810546875
Batch 104: loss = 0.48378846049308777, acc = 0.8232421875
Batch 105: loss = 0.4853893220424652, acc = 0.8193359375
Batch 106: loss = 0.5322580337524414, acc = 0.8203125
Batch 107: loss = 0.4833216071128845, acc = 0.845703125
Batch 108: loss = 0.5420722961425781, acc = 0.802734375
Batch 109: loss = 0.5542649030685425, acc = 0.81640625
Batch 110: loss = 0.49219805002212524, acc = 0.8310546875
Batch 111: loss = 0.5624163150787354, acc = 0.8173828125
Batch 112: loss = 0.5607960224151611, acc = 0.818359375
Batch 113: loss = 0.5772696733474731, acc = 0.814453125
Batch 114: loss = 0.5540436506271362, acc = 0.810546875
Batch 115: loss = 0.5590325593948364, acc = 0.818359375
Batch 116: loss = 0.6167247295379639, acc = 0.78515625
Batch 117: loss = 0.47460705041885376, acc = 0.8515625
Batch 118: loss = 0.48374325037002563, acc = 0.8505859375
Batch 119: loss = 0.5172485709190369, acc = 0.828125
Batch 120: loss = 0.5347853899002075, acc = 0.8251953125
Batch 121: loss = 0.5012825727462769, acc = 0.82421875
Batch 122: loss = 0.5020552277565002, acc = 0.830078125
Batch 123: loss = 0.5257471799850464, acc = 0.826171875
Batch 124: loss = 0.5781854391098022, acc = 0.80859375
Batch 125: loss = 0.5724380016326904, acc = 0.8251953125
Batch 126: loss = 0.5644418001174927, acc = 0.8095703125

Epoch 43/100
Batch 1: loss = 0.6900762319564819, acc = 0.7880859375
Batch 2: loss = 0.6282281875610352, acc = 0.7880859375
Batch 3: loss = 0.5691245794296265, acc = 0.8203125
Batch 4: loss = 0.5461617708206177, acc = 0.8349609375
Batch 5: loss = 0.6117809414863586, acc = 0.806640625
Batch 6: loss = 0.6287416219711304, acc = 0.783203125
Batch 7: loss = 0.5776287317276001, acc = 0.8173828125
Batch 8: loss = 0.5816134810447693, acc = 0.8037109375
Batch 9: loss = 0.47791019082069397, acc = 0.841796875
Batch 10: loss = 0.47208747267723083, acc = 0.845703125
Batch 11: loss = 0.5623257160186768, acc = 0.8125
Batch 12: loss = 0.5727530121803284, acc = 0.8076171875
Batch 13: loss = 0.5192526578903198, acc = 0.8251953125
Batch 14: loss = 0.5483371615409851, acc = 0.8203125
Batch 15: loss = 0.5051089525222778, acc = 0.826171875
Batch 16: loss = 0.5303308963775635, acc = 0.8310546875
Batch 17: loss = 0.5694875717163086, acc = 0.8203125
Batch 18: loss = 0.5859646797180176, acc = 0.818359375
Batch 19: loss = 0.5168257355690002, acc = 0.8271484375
Batch 20: loss = 0.5290457010269165, acc = 0.8134765625
Batch 21: loss = 0.563245415687561, acc = 0.810546875
Batch 22: loss = 0.522495448589325, acc = 0.82421875
Batch 23: loss = 0.5454338788986206, acc = 0.8115234375
Batch 24: loss = 0.4971314072608948, acc = 0.8193359375
Batch 25: loss = 0.5412487387657166, acc = 0.8232421875
Batch 26: loss = 0.4854525327682495, acc = 0.8359375
Batch 27: loss = 0.6039252281188965, acc = 0.7998046875
Batch 28: loss = 0.5539361238479614, acc = 0.7978515625
Batch 29: loss = 0.553962767124176, acc = 0.8125
Batch 30: loss = 0.4993744492530823, acc = 0.83203125
Batch 31: loss = 0.6026577353477478, acc = 0.80859375
Batch 32: loss = 0.6215764880180359, acc = 0.78515625
Batch 33: loss = 0.5347015857696533, acc = 0.8212890625
Batch 34: loss = 0.572656512260437, acc = 0.8095703125
Batch 35: loss = 0.5388896465301514, acc = 0.8115234375
Batch 36: loss = 0.48486945033073425, acc = 0.8369140625
Batch 37: loss = 0.521310031414032, acc = 0.845703125
Batch 38: loss = 0.536034345626831, acc = 0.8212890625
Batch 39: loss = 0.5315990447998047, acc = 0.8251953125
Batch 40: loss = 0.571129560470581, acc = 0.818359375
Batch 41: loss = 0.4889001250267029, acc = 0.845703125
Batch 42: loss = 0.5395801067352295, acc = 0.8193359375
Batch 43: loss = 0.5748625993728638, acc = 0.81640625
Batch 44: loss = 0.4519418478012085, acc = 0.833984375
Batch 45: loss = 0.45675837993621826, acc = 0.837890625
Batch 46: loss = 0.48723360896110535, acc = 0.8291015625
Batch 47: loss = 0.5356007218360901, acc = 0.8212890625
Batch 48: loss = 0.5149002075195312, acc = 0.8212890625
Batch 49: loss = 0.46263691782951355, acc = 0.8525390625
Batch 50: loss = 0.48155277967453003, acc = 0.8408203125
Batch 51: loss = 0.4866962432861328, acc = 0.8408203125
Batch 52: loss = 0.5921158194541931, acc = 0.79296875
Batch 53: loss = 0.5263212323188782, acc = 0.8330078125
Batch 54: loss = 0.43625378608703613, acc = 0.861328125
Batch 55: loss = 0.47465410828590393, acc = 0.84765625
Batch 56: loss = 0.5146176218986511, acc = 0.8251953125
Batch 57: loss = 0.5771465301513672, acc = 0.8037109375
Batch 58: loss = 0.5776182413101196, acc = 0.796875
Batch 59: loss = 0.4086368680000305, acc = 0.865234375
Batch 60: loss = 0.5373294353485107, acc = 0.822265625
Batch 61: loss = 0.4820028841495514, acc = 0.845703125
Batch 62: loss = 0.6074355840682983, acc = 0.802734375
Batch 63: loss = 0.5300313830375671, acc = 0.8212890625
Batch 64: loss = 0.45124539732933044, acc = 0.8466796875
Batch 65: loss = 0.5184938907623291, acc = 0.8330078125
Batch 66: loss = 0.49357616901397705, acc = 0.83984375
Batch 67: loss = 0.5160159468650818, acc = 0.8203125
Batch 68: loss = 0.5286375284194946, acc = 0.82421875
Batch 69: loss = 0.4746569097042084, acc = 0.8447265625
Batch 70: loss = 0.5792388916015625, acc = 0.818359375
Batch 71: loss = 0.49941086769104004, acc = 0.826171875
Batch 72: loss = 0.4947165250778198, acc = 0.845703125
Batch 73: loss = 0.566303014755249, acc = 0.81640625
Batch 74: loss = 0.549120306968689, acc = 0.8056640625
Batch 75: loss = 0.6314946413040161, acc = 0.7880859375
Batch 76: loss = 0.5801530480384827, acc = 0.8095703125
Batch 77: loss = 0.4997767210006714, acc = 0.830078125
Batch 78: loss = 0.5347226858139038, acc = 0.8369140625
Batch 79: loss = 0.46287935972213745, acc = 0.8369140625
Batch 80: loss = 0.5130515098571777, acc = 0.7958984375
Batch 81: loss = 0.5192358493804932, acc = 0.8212890625
Batch 82: loss = 0.48978814482688904, acc = 0.841796875
Batch 83: loss = 0.5151091814041138, acc = 0.8232421875
Batch 84: loss = 0.5220674276351929, acc = 0.8310546875
Batch 85: loss = 0.5683079957962036, acc = 0.8193359375
Batch 86: loss = 0.5171110033988953, acc = 0.8232421875
Batch 87: loss = 0.5419409275054932, acc = 0.8291015625
Batch 88: loss = 0.6182361841201782, acc = 0.8046875
Batch 89: loss = 0.5068382620811462, acc = 0.8330078125
Batch 90: loss = 0.5698263049125671, acc = 0.8134765625
Batch 91: loss = 0.5469390153884888, acc = 0.80859375
Batch 92: loss = 0.5838358402252197, acc = 0.814453125
Batch 93: loss = 0.4443904161453247, acc = 0.8525390625
Batch 94: loss = 0.4623609483242035, acc = 0.8515625
Batch 95: loss = 0.5020156502723694, acc = 0.8271484375
Batch 96: loss = 0.5698042511940002, acc = 0.8095703125
Batch 97: loss = 0.5080760717391968, acc = 0.8349609375
Batch 98: loss = 0.4960430860519409, acc = 0.8505859375
Batch 99: loss = 0.5487197041511536, acc = 0.8134765625
Batch 100: loss = 0.5281484127044678, acc = 0.8125
Batch 101: loss = 0.5462735891342163, acc = 0.8173828125
Batch 102: loss = 0.5250065922737122, acc = 0.8212890625
Batch 103: loss = 0.531237006187439, acc = 0.82421875
Batch 104: loss = 0.4906516671180725, acc = 0.8251953125
Batch 105: loss = 0.48634767532348633, acc = 0.8349609375
Batch 106: loss = 0.5265341997146606, acc = 0.8193359375
Batch 107: loss = 0.5225903987884521, acc = 0.8212890625
Batch 108: loss = 0.4961247444152832, acc = 0.837890625
Batch 109: loss = 0.5219059586524963, acc = 0.826171875
Batch 110: loss = 0.4889487028121948, acc = 0.833984375
Batch 111: loss = 0.5825668573379517, acc = 0.7958984375
Batch 112: loss = 0.5259787440299988, acc = 0.8310546875
Batch 113: loss = 0.52010178565979, acc = 0.81640625
Batch 114: loss = 0.536344587802887, acc = 0.8193359375
Batch 115: loss = 0.5511982440948486, acc = 0.826171875
Batch 116: loss = 0.6122452020645142, acc = 0.802734375
Batch 117: loss = 0.46727898716926575, acc = 0.841796875
Batch 118: loss = 0.4682784676551819, acc = 0.8486328125
Batch 119: loss = 0.5010770559310913, acc = 0.8125
Batch 120: loss = 0.5189368724822998, acc = 0.82421875
Batch 121: loss = 0.5281690359115601, acc = 0.8291015625
Batch 122: loss = 0.4894872307777405, acc = 0.828125
Batch 123: loss = 0.5258696675300598, acc = 0.818359375
Batch 124: loss = 0.5840092897415161, acc = 0.7998046875
Batch 125: loss = 0.5645738840103149, acc = 0.8154296875
Batch 126: loss = 0.5470349192619324, acc = 0.8310546875

Epoch 44/100
Batch 1: loss = 0.6972103118896484, acc = 0.783203125
Batch 2: loss = 0.6341052651405334, acc = 0.7919921875
Batch 3: loss = 0.5468162298202515, acc = 0.828125
Batch 4: loss = 0.5531982183456421, acc = 0.8095703125
Batch 5: loss = 0.6099204421043396, acc = 0.8134765625
Batch 6: loss = 0.5957335829734802, acc = 0.8037109375
Batch 7: loss = 0.5262314081192017, acc = 0.8369140625
Batch 8: loss = 0.5109022259712219, acc = 0.833984375
Batch 9: loss = 0.45416441559791565, acc = 0.853515625
Batch 10: loss = 0.46035751700401306, acc = 0.8408203125
Batch 11: loss = 0.5424664616584778, acc = 0.8046875
Batch 12: loss = 0.5433905124664307, acc = 0.8125
Batch 13: loss = 0.5154054164886475, acc = 0.830078125
Batch 14: loss = 0.5158293843269348, acc = 0.822265625
Batch 15: loss = 0.4983542561531067, acc = 0.8330078125
Batch 16: loss = 0.5403653383255005, acc = 0.822265625
Batch 17: loss = 0.5310098528862, acc = 0.8271484375
Batch 18: loss = 0.5688430070877075, acc = 0.83203125
Batch 19: loss = 0.5243080258369446, acc = 0.8203125
Batch 20: loss = 0.5290748476982117, acc = 0.8193359375
Batch 21: loss = 0.55966717004776, acc = 0.8115234375
Batch 22: loss = 0.4919540584087372, acc = 0.8232421875
Batch 23: loss = 0.5680375099182129, acc = 0.8095703125
Batch 24: loss = 0.5104531049728394, acc = 0.822265625
Batch 25: loss = 0.49720126390457153, acc = 0.8388671875
Batch 26: loss = 0.5067138671875, acc = 0.8271484375
Batch 27: loss = 0.5934658646583557, acc = 0.80078125
Batch 28: loss = 0.5440701246261597, acc = 0.81640625
Batch 29: loss = 0.5205769538879395, acc = 0.8203125
Batch 30: loss = 0.4881167709827423, acc = 0.833984375
Batch 31: loss = 0.5741695761680603, acc = 0.818359375
Batch 32: loss = 0.6096612215042114, acc = 0.794921875
Batch 33: loss = 0.5045612454414368, acc = 0.8251953125
Batch 34: loss = 0.5366747379302979, acc = 0.822265625
Batch 35: loss = 0.5135108828544617, acc = 0.826171875
Batch 36: loss = 0.4924246668815613, acc = 0.8359375
Batch 37: loss = 0.4908348619937897, acc = 0.84375
Batch 38: loss = 0.5048593282699585, acc = 0.83203125
Batch 39: loss = 0.4768948554992676, acc = 0.8525390625
Batch 40: loss = 0.5179795622825623, acc = 0.8349609375
Batch 41: loss = 0.517913281917572, acc = 0.83203125
Batch 42: loss = 0.5396137237548828, acc = 0.814453125
Batch 43: loss = 0.5789757370948792, acc = 0.7978515625
Batch 44: loss = 0.45748651027679443, acc = 0.8505859375
Batch 45: loss = 0.4357298016548157, acc = 0.8603515625
Batch 46: loss = 0.48534059524536133, acc = 0.8310546875
Batch 47: loss = 0.4934506416320801, acc = 0.83984375
Batch 48: loss = 0.4956945478916168, acc = 0.830078125
Batch 49: loss = 0.4680553376674652, acc = 0.85546875
Batch 50: loss = 0.48660433292388916, acc = 0.8369140625
Batch 51: loss = 0.4993164539337158, acc = 0.822265625
Batch 52: loss = 0.5377248525619507, acc = 0.8232421875
Batch 53: loss = 0.5478799343109131, acc = 0.8125
Batch 54: loss = 0.4574701189994812, acc = 0.8349609375
Batch 55: loss = 0.4539882242679596, acc = 0.8583984375
Batch 56: loss = 0.5186411142349243, acc = 0.8232421875
Batch 57: loss = 0.5538053512573242, acc = 0.8076171875
Batch 58: loss = 0.5851312279701233, acc = 0.796875
Batch 59: loss = 0.4080907702445984, acc = 0.8623046875
Batch 60: loss = 0.4972207248210907, acc = 0.83203125
Batch 61: loss = 0.475391149520874, acc = 0.849609375
Batch 62: loss = 0.5874285697937012, acc = 0.8037109375
Batch 63: loss = 0.5191353559494019, acc = 0.833984375
Batch 64: loss = 0.45286160707473755, acc = 0.8603515625
Batch 65: loss = 0.5076559782028198, acc = 0.8388671875
Batch 66: loss = 0.4805411994457245, acc = 0.8388671875
Batch 67: loss = 0.4878232777118683, acc = 0.84765625
Batch 68: loss = 0.5061427354812622, acc = 0.8369140625
Batch 69: loss = 0.4483676552772522, acc = 0.845703125
Batch 70: loss = 0.5254274010658264, acc = 0.826171875
Batch 71: loss = 0.5248914957046509, acc = 0.8251953125
Batch 72: loss = 0.467575341463089, acc = 0.8447265625
Batch 73: loss = 0.5653711557388306, acc = 0.822265625
Batch 74: loss = 0.5442482233047485, acc = 0.8115234375
Batch 75: loss = 0.6099230647087097, acc = 0.7861328125
Batch 76: loss = 0.5440263152122498, acc = 0.8134765625
Batch 77: loss = 0.5029718279838562, acc = 0.826171875
Batch 78: loss = 0.5115800499916077, acc = 0.8408203125
Batch 79: loss = 0.4606371521949768, acc = 0.84765625
Batch 80: loss = 0.4657202363014221, acc = 0.8291015625
Batch 81: loss = 0.5262470245361328, acc = 0.82421875
Batch 82: loss = 0.47255033254623413, acc = 0.8388671875
Batch 83: loss = 0.5114156007766724, acc = 0.826171875
Batch 84: loss = 0.5022139549255371, acc = 0.8388671875
Batch 85: loss = 0.5679906010627747, acc = 0.796875
Batch 86: loss = 0.49644964933395386, acc = 0.8291015625
Batch 87: loss = 0.4987305700778961, acc = 0.8369140625
Batch 88: loss = 0.6049284934997559, acc = 0.796875
Batch 89: loss = 0.4668554365634918, acc = 0.8525390625
Batch 90: loss = 0.5556474328041077, acc = 0.810546875
Batch 91: loss = 0.5434054136276245, acc = 0.8251953125
Batch 92: loss = 0.5367376208305359, acc = 0.8349609375
Batch 93: loss = 0.43109995126724243, acc = 0.8525390625
Batch 94: loss = 0.465609073638916, acc = 0.8515625
Batch 95: loss = 0.48623770475387573, acc = 0.837890625
Batch 96: loss = 0.5740671157836914, acc = 0.802734375
Batch 97: loss = 0.5180832147598267, acc = 0.8330078125
Batch 98: loss = 0.5162702202796936, acc = 0.8291015625
Batch 99: loss = 0.5102750062942505, acc = 0.8330078125
Batch 100: loss = 0.5580992698669434, acc = 0.8046875
Batch 101: loss = 0.5348722338676453, acc = 0.8037109375
Batch 102: loss = 0.5490027666091919, acc = 0.80859375
Batch 103: loss = 0.5319600105285645, acc = 0.8154296875
Batch 104: loss = 0.4483809769153595, acc = 0.8447265625
Batch 105: loss = 0.44662854075431824, acc = 0.853515625
Batch 106: loss = 0.5002294778823853, acc = 0.8447265625
Batch 107: loss = 0.4962174594402313, acc = 0.8349609375
Batch 108: loss = 0.4986346960067749, acc = 0.8251953125
Batch 109: loss = 0.5003147125244141, acc = 0.8369140625
Batch 110: loss = 0.44245973229408264, acc = 0.837890625
Batch 111: loss = 0.5664718747138977, acc = 0.8115234375
Batch 112: loss = 0.5264456272125244, acc = 0.8251953125
Batch 113: loss = 0.529599130153656, acc = 0.8359375
Batch 114: loss = 0.496721476316452, acc = 0.845703125
Batch 115: loss = 0.5307739973068237, acc = 0.8173828125
Batch 116: loss = 0.6036984324455261, acc = 0.802734375
Batch 117: loss = 0.4866518974304199, acc = 0.83984375
Batch 118: loss = 0.4505756199359894, acc = 0.8583984375
Batch 119: loss = 0.5021387934684753, acc = 0.841796875
Batch 120: loss = 0.4931989312171936, acc = 0.8359375
Batch 121: loss = 0.5005674362182617, acc = 0.8330078125
Batch 122: loss = 0.47714224457740784, acc = 0.83984375
Batch 123: loss = 0.5024377703666687, acc = 0.83203125
Batch 124: loss = 0.5871877670288086, acc = 0.80859375
Batch 125: loss = 0.5317389965057373, acc = 0.8125
Batch 126: loss = 0.5097304582595825, acc = 0.8369140625

Epoch 45/100
Batch 1: loss = 0.6541756391525269, acc = 0.8056640625
Batch 2: loss = 0.6011303663253784, acc = 0.8037109375
Batch 3: loss = 0.5639715194702148, acc = 0.810546875
Batch 4: loss = 0.514788031578064, acc = 0.83984375
Batch 5: loss = 0.5636512637138367, acc = 0.822265625
Batch 6: loss = 0.6025765538215637, acc = 0.7890625
Batch 7: loss = 0.5111305713653564, acc = 0.830078125
Batch 8: loss = 0.523087739944458, acc = 0.8349609375
Batch 9: loss = 0.45546412467956543, acc = 0.8447265625
Batch 10: loss = 0.4752379357814789, acc = 0.837890625
Batch 11: loss = 0.5465719699859619, acc = 0.8203125
Batch 12: loss = 0.5474839210510254, acc = 0.8203125
Batch 13: loss = 0.522820234298706, acc = 0.833984375
Batch 14: loss = 0.5172716379165649, acc = 0.8408203125
Batch 15: loss = 0.48014751076698303, acc = 0.837890625
Batch 16: loss = 0.5158527493476868, acc = 0.8388671875
Batch 17: loss = 0.49915653467178345, acc = 0.84375
Batch 18: loss = 0.5710915327072144, acc = 0.8095703125
Batch 19: loss = 0.5095424652099609, acc = 0.8369140625
Batch 20: loss = 0.4946094751358032, acc = 0.8369140625
Batch 21: loss = 0.50739985704422, acc = 0.828125
Batch 22: loss = 0.5259811878204346, acc = 0.8359375
Batch 23: loss = 0.5541794300079346, acc = 0.8046875
Batch 24: loss = 0.4966661036014557, acc = 0.8310546875
Batch 25: loss = 0.46471714973449707, acc = 0.8369140625
Batch 26: loss = 0.4723462462425232, acc = 0.84765625
Batch 27: loss = 0.559678852558136, acc = 0.81640625
Batch 28: loss = 0.5519363880157471, acc = 0.8115234375
Batch 29: loss = 0.5503290891647339, acc = 0.81640625
Batch 30: loss = 0.48470398783683777, acc = 0.8408203125
Batch 31: loss = 0.5423262715339661, acc = 0.8193359375
Batch 32: loss = 0.5744680762290955, acc = 0.8046875
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Batch 36: loss = 0.4442201852798462, acc = 0.8583984375
Batch 37: loss = 0.505383312702179, acc = 0.841796875
Batch 38: loss = 0.5002610683441162, acc = 0.8388671875
Batch 39: loss = 0.4933359622955322, acc = 0.8271484375
Batch 40: loss = 0.530340850353241, acc = 0.814453125
Batch 41: loss = 0.5004857778549194, acc = 0.8271484375
Batch 42: loss = 0.5343180298805237, acc = 0.8203125
Batch 43: loss = 0.5537717342376709, acc = 0.806640625
Batch 44: loss = 0.42637771368026733, acc = 0.8662109375
Batch 45: loss = 0.45726361870765686, acc = 0.84375
Batch 46: loss = 0.477980375289917, acc = 0.841796875
Batch 47: loss = 0.4786756634712219, acc = 0.8447265625
Batch 48: loss = 0.4961828291416168, acc = 0.833984375
Batch 49: loss = 0.45840853452682495, acc = 0.8564453125
Batch 50: loss = 0.5048526525497437, acc = 0.8359375
Batch 51: loss = 0.4977632761001587, acc = 0.8203125
Batch 52: loss = 0.5488739013671875, acc = 0.8046875
Batch 53: loss = 0.5385416746139526, acc = 0.8203125
Batch 54: loss = 0.4204455316066742, acc = 0.8505859375
Batch 55: loss = 0.4264201819896698, acc = 0.859375
Batch 56: loss = 0.5227909088134766, acc = 0.8095703125
Batch 57: loss = 0.5558524131774902, acc = 0.80859375
Batch 58: loss = 0.5406706929206848, acc = 0.8017578125
Batch 59: loss = 0.3911365568637848, acc = 0.875
Batch 60: loss = 0.49445027112960815, acc = 0.8388671875
Batch 61: loss = 0.4846274256706238, acc = 0.837890625
Batch 62: loss = 0.5815839767456055, acc = 0.7958984375
Batch 63: loss = 0.5445502996444702, acc = 0.828125
Batch 64: loss = 0.4545411467552185, acc = 0.8544921875
Batch 65: loss = 0.4899025559425354, acc = 0.8330078125
Batch 66: loss = 0.46745529770851135, acc = 0.8388671875
Batch 67: loss = 0.4742867648601532, acc = 0.8466796875
Batch 68: loss = 0.5001187324523926, acc = 0.833984375
Batch 69: loss = 0.44652676582336426, acc = 0.8515625
Batch 70: loss = 0.5287351012229919, acc = 0.8251953125
Batch 71: loss = 0.4828731119632721, acc = 0.837890625
Batch 72: loss = 0.45284849405288696, acc = 0.8525390625
Batch 73: loss = 0.5668809413909912, acc = 0.8115234375
Batch 74: loss = 0.5484525561332703, acc = 0.8056640625
Batch 75: loss = 0.6083664298057556, acc = 0.8037109375
Batch 76: loss = 0.5375226736068726, acc = 0.810546875
Batch 77: loss = 0.4607616662979126, acc = 0.8447265625
Batch 78: loss = 0.5172322988510132, acc = 0.8349609375
Batch 79: loss = 0.46863555908203125, acc = 0.8466796875
Batch 80: loss = 0.44089528918266296, acc = 0.8544921875
Batch 81: loss = 0.4927227199077606, acc = 0.837890625
Batch 82: loss = 0.46571776270866394, acc = 0.849609375
Batch 83: loss = 0.4948046803474426, acc = 0.8359375
Batch 84: loss = 0.508919894695282, acc = 0.82421875
Batch 85: loss = 0.5700913667678833, acc = 0.8056640625
Batch 86: loss = 0.49022984504699707, acc = 0.833984375
Batch 87: loss = 0.4838608503341675, acc = 0.8291015625
Batch 88: loss = 0.5613998770713806, acc = 0.8193359375
Batch 89: loss = 0.4639103412628174, acc = 0.8505859375
Batch 90: loss = 0.5362685918807983, acc = 0.8232421875
Batch 91: loss = 0.549830436706543, acc = 0.814453125
Batch 92: loss = 0.5478674173355103, acc = 0.822265625
Batch 93: loss = 0.448369562625885, acc = 0.8583984375
Batch 94: loss = 0.44072461128234863, acc = 0.8505859375
Batch 95: loss = 0.4769851863384247, acc = 0.8408203125
Batch 96: loss = 0.5390950441360474, acc = 0.8134765625
Batch 97: loss = 0.48678433895111084, acc = 0.8505859375
Batch 98: loss = 0.4797574281692505, acc = 0.849609375
Batch 99: loss = 0.5042170286178589, acc = 0.8271484375
Batch 100: loss = 0.521120548248291, acc = 0.8134765625
Batch 101: loss = 0.5277509689331055, acc = 0.818359375
Batch 102: loss = 0.5645755529403687, acc = 0.810546875
Batch 103: loss = 0.5178567171096802, acc = 0.82421875
Batch 104: loss = 0.47235849499702454, acc = 0.8388671875
Batch 105: loss = 0.472784161567688, acc = 0.8447265625
Batch 106: loss = 0.5172570943832397, acc = 0.818359375
Batch 107: loss = 0.48659583926200867, acc = 0.8349609375
Batch 108: loss = 0.49468573927879333, acc = 0.826171875
Batch 109: loss = 0.5078765153884888, acc = 0.8369140625
Batch 110: loss = 0.4660654067993164, acc = 0.845703125
Batch 111: loss = 0.5268286466598511, acc = 0.8125
Batch 112: loss = 0.5070492029190063, acc = 0.8349609375
Batch 113: loss = 0.514617919921875, acc = 0.826171875
Batch 114: loss = 0.5334693193435669, acc = 0.8359375
Batch 115: loss = 0.5384981632232666, acc = 0.8173828125
Batch 116: loss = 0.5891541838645935, acc = 0.8095703125
Batch 117: loss = 0.43928593397140503, acc = 0.853515625
Batch 118: loss = 0.45999348163604736, acc = 0.8525390625
Batch 119: loss = 0.5165073871612549, acc = 0.837890625
Batch 120: loss = 0.481359601020813, acc = 0.8330078125
Batch 121: loss = 0.5000052452087402, acc = 0.8388671875
Batch 122: loss = 0.4582759141921997, acc = 0.8505859375
Batch 123: loss = 0.5084481239318848, acc = 0.818359375
Batch 124: loss = 0.5490837097167969, acc = 0.806640625
Batch 125: loss = 0.5412837266921997, acc = 0.8125
Batch 126: loss = 0.518646776676178, acc = 0.841796875

Epoch 46/100
Batch 1: loss = 0.6669818162918091, acc = 0.802734375
Batch 2: loss = 0.5936546325683594, acc = 0.8095703125
Batch 3: loss = 0.5658622980117798, acc = 0.8115234375
Batch 4: loss = 0.5296682715415955, acc = 0.828125
Batch 5: loss = 0.5937610864639282, acc = 0.7978515625
Batch 6: loss = 0.5894715785980225, acc = 0.818359375
Batch 7: loss = 0.5454575419425964, acc = 0.8203125
Batch 8: loss = 0.5148792266845703, acc = 0.8388671875
Batch 9: loss = 0.49002572894096375, acc = 0.845703125
Batch 10: loss = 0.4472638964653015, acc = 0.8525390625
Batch 11: loss = 0.5389376878738403, acc = 0.818359375
Batch 12: loss = 0.5331481695175171, acc = 0.8173828125
Batch 13: loss = 0.49440768361091614, acc = 0.833984375
Batch 14: loss = 0.5007033348083496, acc = 0.826171875
Batch 15: loss = 0.46766355633735657, acc = 0.8564453125
Batch 16: loss = 0.532030463218689, acc = 0.830078125
Batch 17: loss = 0.5515190362930298, acc = 0.822265625
Batch 18: loss = 0.5573689341545105, acc = 0.8154296875
Batch 19: loss = 0.48946020007133484, acc = 0.8427734375
Batch 20: loss = 0.4716683626174927, acc = 0.8486328125
Batch 21: loss = 0.533785343170166, acc = 0.826171875
Batch 22: loss = 0.49285489320755005, acc = 0.8349609375
Batch 23: loss = 0.4957238435745239, acc = 0.83203125
Batch 24: loss = 0.4873214364051819, acc = 0.8427734375
Batch 25: loss = 0.45951229333877563, acc = 0.841796875
Batch 26: loss = 0.480374276638031, acc = 0.833984375
Batch 27: loss = 0.5584831237792969, acc = 0.826171875
Batch 28: loss = 0.5577583909034729, acc = 0.810546875
Batch 29: loss = 0.5342848300933838, acc = 0.8115234375
Batch 30: loss = 0.4716622829437256, acc = 0.8388671875
Batch 31: loss = 0.5194708704948425, acc = 0.8359375
Batch 32: loss = 0.5631477236747742, acc = 0.794921875
Batch 33: loss = 0.47270581126213074, acc = 0.8369140625
Batch 34: loss = 0.5479871034622192, acc = 0.8134765625
Batch 35: loss = 0.4841027855873108, acc = 0.8349609375
Batch 36: loss = 0.44736817479133606, acc = 0.849609375
Batch 37: loss = 0.43540674448013306, acc = 0.8447265625
Batch 38: loss = 0.5049274563789368, acc = 0.8408203125
Batch 39: loss = 0.45000460743904114, acc = 0.865234375
Batch 40: loss = 0.5111159086227417, acc = 0.8330078125
Batch 41: loss = 0.44577735662460327, acc = 0.8564453125
Batch 42: loss = 0.5048591494560242, acc = 0.8310546875
Batch 43: loss = 0.5144183039665222, acc = 0.8251953125
Batch 44: loss = 0.4155779778957367, acc = 0.865234375
Batch 45: loss = 0.41770046949386597, acc = 0.859375
Batch 46: loss = 0.46207284927368164, acc = 0.8330078125
Batch 47: loss = 0.47793567180633545, acc = 0.8349609375
Batch 48: loss = 0.48868346214294434, acc = 0.8291015625
Batch 49: loss = 0.451424777507782, acc = 0.8466796875
Batch 50: loss = 0.4647154211997986, acc = 0.857421875
Batch 51: loss = 0.4503202736377716, acc = 0.8369140625
Batch 52: loss = 0.5204005241394043, acc = 0.8154296875
Batch 53: loss = 0.5048462152481079, acc = 0.837890625
Batch 54: loss = 0.40662431716918945, acc = 0.8681640625
Batch 55: loss = 0.40668755769729614, acc = 0.87109375
Batch 56: loss = 0.4980389177799225, acc = 0.8330078125
Batch 57: loss = 0.5282638669013977, acc = 0.8193359375
Batch 58: loss = 0.5349555015563965, acc = 0.8154296875
Batch 59: loss = 0.40231525897979736, acc = 0.86328125
Batch 60: loss = 0.47322744131088257, acc = 0.8359375
Batch 61: loss = 0.45162302255630493, acc = 0.8603515625
Batch 62: loss = 0.5660370588302612, acc = 0.8154296875
Batch 63: loss = 0.49433520436286926, acc = 0.8251953125
Batch 64: loss = 0.45023226737976074, acc = 0.845703125
Batch 65: loss = 0.503844141960144, acc = 0.837890625
Batch 66: loss = 0.4656359553337097, acc = 0.8388671875
Batch 67: loss = 0.4580494463443756, acc = 0.84375
Batch 68: loss = 0.4669002592563629, acc = 0.845703125
Batch 69: loss = 0.45572495460510254, acc = 0.8427734375
Batch 70: loss = 0.5749373435974121, acc = 0.818359375
Batch 71: loss = 0.47105515003204346, acc = 0.837890625
Batch 72: loss = 0.45463523268699646, acc = 0.8466796875
Batch 73: loss = 0.5476076006889343, acc = 0.8193359375
Batch 74: loss = 0.5511918067932129, acc = 0.806640625
Batch 75: loss = 0.5812065601348877, acc = 0.8046875
Batch 76: loss = 0.5132544040679932, acc = 0.8369140625
Batch 77: loss = 0.47463980317115784, acc = 0.8369140625
Batch 78: loss = 0.46336472034454346, acc = 0.8505859375
Batch 79: loss = 0.44735169410705566, acc = 0.8447265625
Batch 80: loss = 0.45329171419143677, acc = 0.8359375
Batch 81: loss = 0.4811869263648987, acc = 0.841796875
Batch 82: loss = 0.4541897773742676, acc = 0.845703125
Batch 83: loss = 0.49163830280303955, acc = 0.8212890625
Batch 84: loss = 0.5106325149536133, acc = 0.8291015625
Batch 85: loss = 0.5658258199691772, acc = 0.8046875
Batch 86: loss = 0.4974099397659302, acc = 0.83203125
Batch 87: loss = 0.4749085307121277, acc = 0.833984375
Batch 88: loss = 0.5441898703575134, acc = 0.8310546875
Batch 89: loss = 0.467561811208725, acc = 0.8505859375
Batch 90: loss = 0.5516578555107117, acc = 0.8173828125
Batch 91: loss = 0.5363137125968933, acc = 0.81640625
Batch 92: loss = 0.5644084811210632, acc = 0.81640625
Batch 93: loss = 0.42225998640060425, acc = 0.8701171875
Batch 94: loss = 0.47276926040649414, acc = 0.8427734375
Batch 95: loss = 0.49919503927230835, acc = 0.8369140625
Batch 96: loss = 0.5500198006629944, acc = 0.8056640625
Batch 97: loss = 0.5115917325019836, acc = 0.8330078125
Batch 98: loss = 0.48062267899513245, acc = 0.8427734375
Batch 99: loss = 0.4877617359161377, acc = 0.8359375
Batch 100: loss = 0.5295786261558533, acc = 0.810546875
Batch 101: loss = 0.5074250102043152, acc = 0.82421875
Batch 102: loss = 0.5410770177841187, acc = 0.8095703125
Batch 103: loss = 0.5202580690383911, acc = 0.8134765625
Batch 104: loss = 0.4776066839694977, acc = 0.8408203125
Batch 105: loss = 0.4500117897987366, acc = 0.8447265625
Batch 106: loss = 0.4863015413284302, acc = 0.8388671875
Batch 107: loss = 0.4837363064289093, acc = 0.8408203125
Batch 108: loss = 0.46591925621032715, acc = 0.833984375
Batch 109: loss = 0.4960859417915344, acc = 0.8330078125
Batch 110: loss = 0.40774786472320557, acc = 0.8623046875
Batch 111: loss = 0.5172737836837769, acc = 0.828125
Batch 112: loss = 0.49484407901763916, acc = 0.845703125
Batch 113: loss = 0.5162367224693298, acc = 0.8251953125
Batch 114: loss = 0.4949556589126587, acc = 0.84375
Batch 115: loss = 0.5211448073387146, acc = 0.8271484375
Batch 116: loss = 0.5427843332290649, acc = 0.81640625
Batch 117: loss = 0.46059703826904297, acc = 0.8388671875
Batch 118: loss = 0.4510316252708435, acc = 0.84765625
Batch 119: loss = 0.49575501680374146, acc = 0.845703125
Batch 120: loss = 0.48763322830200195, acc = 0.845703125
Batch 121: loss = 0.4940355122089386, acc = 0.8330078125
Batch 122: loss = 0.4609083831310272, acc = 0.8427734375
Batch 123: loss = 0.46644479036331177, acc = 0.84765625
Batch 124: loss = 0.5436266660690308, acc = 0.8310546875
Batch 125: loss = 0.5428129434585571, acc = 0.8251953125
Batch 126: loss = 0.5210868716239929, acc = 0.826171875

Epoch 47/100
Batch 1: loss = 0.6205688714981079, acc = 0.8134765625
Batch 2: loss = 0.5631101131439209, acc = 0.80859375
Batch 3: loss = 0.5217114686965942, acc = 0.8271484375
Batch 4: loss = 0.5040936470031738, acc = 0.8369140625
Batch 5: loss = 0.5374259352684021, acc = 0.8212890625
Batch 6: loss = 0.5769327878952026, acc = 0.7900390625
Batch 7: loss = 0.4854365587234497, acc = 0.8271484375
Batch 8: loss = 0.5243508815765381, acc = 0.8212890625
Batch 9: loss = 0.43917128443717957, acc = 0.8515625
Batch 10: loss = 0.43703901767730713, acc = 0.8505859375
Batch 11: loss = 0.5621589422225952, acc = 0.8046875
Batch 12: loss = 0.5139230489730835, acc = 0.8349609375
Batch 13: loss = 0.48081690073013306, acc = 0.8486328125
Batch 14: loss = 0.4933178722858429, acc = 0.8466796875
Batch 15: loss = 0.510868489742279, acc = 0.830078125
Batch 16: loss = 0.4894634187221527, acc = 0.83984375
Batch 17: loss = 0.528963565826416, acc = 0.822265625
Batch 18: loss = 0.5378924608230591, acc = 0.8251953125
Batch 19: loss = 0.48092398047447205, acc = 0.84375
Batch 20: loss = 0.5023841857910156, acc = 0.8203125
Batch 21: loss = 0.5427747964859009, acc = 0.81640625
Batch 22: loss = 0.4797438681125641, acc = 0.8427734375
Batch 23: loss = 0.5074974298477173, acc = 0.8271484375
Batch 24: loss = 0.44997304677963257, acc = 0.8388671875
Batch 25: loss = 0.49956876039505005, acc = 0.8291015625
Batch 26: loss = 0.45831751823425293, acc = 0.84375
Batch 27: loss = 0.5763558149337769, acc = 0.8037109375
Batch 28: loss = 0.5434552431106567, acc = 0.8154296875
Batch 29: loss = 0.5273956656455994, acc = 0.806640625
Batch 30: loss = 0.4569067358970642, acc = 0.837890625
Batch 31: loss = 0.5464157462120056, acc = 0.8203125
Batch 32: loss = 0.5825074911117554, acc = 0.8017578125
Batch 33: loss = 0.4630460739135742, acc = 0.841796875
Batch 34: loss = 0.530500054359436, acc = 0.814453125
Batch 35: loss = 0.48007094860076904, acc = 0.830078125
Batch 36: loss = 0.45262330770492554, acc = 0.853515625
Batch 37: loss = 0.47613003849983215, acc = 0.8525390625
Batch 38: loss = 0.5020684003829956, acc = 0.8310546875
Batch 39: loss = 0.4846389591693878, acc = 0.845703125
Batch 40: loss = 0.49488335847854614, acc = 0.8349609375
Batch 41: loss = 0.5011320114135742, acc = 0.8310546875
Batch 42: loss = 0.49950069189071655, acc = 0.828125
Batch 43: loss = 0.5233719944953918, acc = 0.8232421875
Batch 44: loss = 0.41172128915786743, acc = 0.8564453125
Batch 45: loss = 0.4195769131183624, acc = 0.873046875
Batch 46: loss = 0.4691297709941864, acc = 0.8408203125
Batch 47: loss = 0.4993668794631958, acc = 0.8330078125
Batch 48: loss = 0.46156999468803406, acc = 0.853515625
Batch 49: loss = 0.4265192151069641, acc = 0.861328125
Batch 50: loss = 0.4589046835899353, acc = 0.8486328125
Batch 51: loss = 0.4724876880645752, acc = 0.833984375
Batch 52: loss = 0.487515926361084, acc = 0.8427734375
Batch 53: loss = 0.4787876605987549, acc = 0.833984375
Batch 54: loss = 0.3832964301109314, acc = 0.865234375
Batch 55: loss = 0.40886855125427246, acc = 0.8603515625
Batch 56: loss = 0.46666011214256287, acc = 0.8349609375
Batch 57: loss = 0.5553438663482666, acc = 0.810546875
Batch 58: loss = 0.5149693489074707, acc = 0.826171875
Batch 59: loss = 0.41632264852523804, acc = 0.8583984375
Batch 60: loss = 0.5267956256866455, acc = 0.8349609375
Batch 61: loss = 0.4562341868877411, acc = 0.8466796875
Batch 62: loss = 0.5683330297470093, acc = 0.8017578125
Batch 63: loss = 0.5071094036102295, acc = 0.8232421875
Batch 64: loss = 0.427295058965683, acc = 0.84375
Batch 65: loss = 0.47030338644981384, acc = 0.84375
Batch 66: loss = 0.47055941820144653, acc = 0.8408203125
Batch 67: loss = 0.4879348576068878, acc = 0.8466796875
Batch 68: loss = 0.4925532042980194, acc = 0.83203125
Batch 69: loss = 0.45031461119651794, acc = 0.853515625
Batch 70: loss = 0.517636775970459, acc = 0.8232421875
Batch 71: loss = 0.5064969658851624, acc = 0.8349609375
Batch 72: loss = 0.4333975315093994, acc = 0.865234375
Batch 73: loss = 0.5616458654403687, acc = 0.8193359375
Batch 74: loss = 0.5104184746742249, acc = 0.8173828125
Batch 75: loss = 0.5760761499404907, acc = 0.80859375
Batch 76: loss = 0.568570613861084, acc = 0.8056640625
Batch 77: loss = 0.4790073037147522, acc = 0.8427734375
Batch 78: loss = 0.48539280891418457, acc = 0.8447265625
Batch 79: loss = 0.44077569246292114, acc = 0.857421875
Batch 80: loss = 0.42336028814315796, acc = 0.845703125
Batch 81: loss = 0.4915834367275238, acc = 0.8369140625
Batch 82: loss = 0.4381410479545593, acc = 0.85546875
Batch 83: loss = 0.4803149402141571, acc = 0.8232421875
Batch 84: loss = 0.5021423697471619, acc = 0.8359375
Batch 85: loss = 0.5263635516166687, acc = 0.82421875
Batch 86: loss = 0.5151394605636597, acc = 0.8359375
Batch 87: loss = 0.5042048692703247, acc = 0.826171875
Batch 88: loss = 0.560137152671814, acc = 0.80859375
Batch 89: loss = 0.45495468378067017, acc = 0.8525390625
Batch 90: loss = 0.534945011138916, acc = 0.8203125
Batch 91: loss = 0.5569751262664795, acc = 0.7998046875
Batch 92: loss = 0.5143432021141052, acc = 0.8310546875
Batch 93: loss = 0.40768182277679443, acc = 0.8671875
Batch 94: loss = 0.4367152750492096, acc = 0.859375
Batch 95: loss = 0.45292043685913086, acc = 0.849609375
Batch 96: loss = 0.5445725917816162, acc = 0.8134765625
Batch 97: loss = 0.47665831446647644, acc = 0.841796875
Batch 98: loss = 0.4731006622314453, acc = 0.8466796875
Batch 99: loss = 0.5136204957962036, acc = 0.83203125
Batch 100: loss = 0.5308713912963867, acc = 0.8056640625
Batch 101: loss = 0.511043906211853, acc = 0.830078125
Batch 102: loss = 0.4930870532989502, acc = 0.8291015625
Batch 103: loss = 0.4833901524543762, acc = 0.8388671875
Batch 104: loss = 0.4338247776031494, acc = 0.8544921875
Batch 105: loss = 0.41479915380477905, acc = 0.8544921875
Batch 106: loss = 0.504698634147644, acc = 0.8388671875
Batch 107: loss = 0.4580647647380829, acc = 0.8466796875
Batch 108: loss = 0.4768323302268982, acc = 0.8349609375
Batch 109: loss = 0.5132629871368408, acc = 0.82421875
Batch 110: loss = 0.45392948389053345, acc = 0.8525390625
Batch 111: loss = 0.5102967023849487, acc = 0.822265625
Batch 112: loss = 0.47898629307746887, acc = 0.8466796875
Batch 113: loss = 0.5183281898498535, acc = 0.8251953125
Batch 114: loss = 0.5230312347412109, acc = 0.8291015625
Batch 115: loss = 0.5072088837623596, acc = 0.8310546875
Batch 116: loss = 0.5297476649284363, acc = 0.826171875
Batch 117: loss = 0.4648510813713074, acc = 0.8466796875
Batch 118: loss = 0.43797409534454346, acc = 0.8623046875
Batch 119: loss = 0.5097457766532898, acc = 0.8349609375
Batch 120: loss = 0.4465789794921875, acc = 0.8564453125
Batch 121: loss = 0.4866688847541809, acc = 0.8349609375
Batch 122: loss = 0.47905176877975464, acc = 0.8251953125
Batch 123: loss = 0.46145445108413696, acc = 0.8505859375
Batch 124: loss = 0.5388603806495667, acc = 0.8154296875
Batch 125: loss = 0.5269102454185486, acc = 0.8095703125
Batch 126: loss = 0.5279923677444458, acc = 0.8310546875

Epoch 48/100
Batch 1: loss = 0.6191052794456482, acc = 0.814453125
Batch 2: loss = 0.5470484495162964, acc = 0.828125
Batch 3: loss = 0.5084751844406128, acc = 0.841796875
Batch 4: loss = 0.4831218719482422, acc = 0.8515625
Batch 5: loss = 0.5526530742645264, acc = 0.8212890625
Batch 6: loss = 0.5386515855789185, acc = 0.806640625
Batch 7: loss = 0.4785824418067932, acc = 0.8486328125
Batch 8: loss = 0.5009851455688477, acc = 0.8408203125
Batch 9: loss = 0.47639399766921997, acc = 0.8369140625
Batch 10: loss = 0.41730308532714844, acc = 0.8623046875
Batch 11: loss = 0.5046104788780212, acc = 0.8203125
Batch 12: loss = 0.4830259084701538, acc = 0.8359375
Batch 13: loss = 0.47358617186546326, acc = 0.845703125
Batch 14: loss = 0.5123608112335205, acc = 0.8291015625
Batch 15: loss = 0.4511195421218872, acc = 0.8486328125
Batch 16: loss = 0.5499972701072693, acc = 0.8203125
Batch 17: loss = 0.487047016620636, acc = 0.84375
Batch 18: loss = 0.5435749292373657, acc = 0.8134765625
Batch 19: loss = 0.4695550203323364, acc = 0.8544921875
Batch 20: loss = 0.4871205687522888, acc = 0.833984375
Batch 21: loss = 0.48245763778686523, acc = 0.8408203125
Batch 22: loss = 0.4583466947078705, acc = 0.8349609375
Batch 23: loss = 0.4917772114276886, acc = 0.8271484375
Batch 24: loss = 0.45653241872787476, acc = 0.8486328125
Batch 25: loss = 0.4895249009132385, acc = 0.8408203125
Batch 26: loss = 0.44704583287239075, acc = 0.853515625
Batch 27: loss = 0.5289865732192993, acc = 0.8251953125
Batch 28: loss = 0.5385658144950867, acc = 0.806640625
Batch 29: loss = 0.4764330983161926, acc = 0.8349609375
Batch 30: loss = 0.44695326685905457, acc = 0.8505859375
Batch 31: loss = 0.47877511382102966, acc = 0.8408203125
Batch 32: loss = 0.5449373126029968, acc = 0.8212890625
Batch 33: loss = 0.47956573963165283, acc = 0.8486328125
Batch 34: loss = 0.49923470616340637, acc = 0.8310546875
Batch 35: loss = 0.4695405960083008, acc = 0.83203125
Batch 36: loss = 0.4143180847167969, acc = 0.8544921875
Batch 37: loss = 0.418211430311203, acc = 0.8515625
Batch 38: loss = 0.48274749517440796, acc = 0.8388671875
Batch 39: loss = 0.44791358709335327, acc = 0.859375
Batch 40: loss = 0.5073036551475525, acc = 0.8193359375
Batch 41: loss = 0.4447801411151886, acc = 0.8349609375
Batch 42: loss = 0.49781957268714905, acc = 0.8359375
Batch 43: loss = 0.5537301301956177, acc = 0.8134765625
Batch 44: loss = 0.4770020842552185, acc = 0.8427734375
Batch 45: loss = 0.4316405951976776, acc = 0.859375
Batch 46: loss = 0.4652811586856842, acc = 0.8486328125
Batch 47: loss = 0.48405224084854126, acc = 0.8408203125
Batch 48: loss = 0.4434155225753784, acc = 0.8525390625
Batch 49: loss = 0.4357713460922241, acc = 0.8623046875
Batch 50: loss = 0.4343710243701935, acc = 0.859375
Batch 51: loss = 0.47258061170578003, acc = 0.833984375
Batch 52: loss = 0.502320408821106, acc = 0.8359375
Batch 53: loss = 0.5060471296310425, acc = 0.8408203125
Batch 54: loss = 0.4004397988319397, acc = 0.8681640625
Batch 55: loss = 0.4157848656177521, acc = 0.8544921875
Batch 56: loss = 0.5016753077507019, acc = 0.8095703125
Batch 57: loss = 0.5510313510894775, acc = 0.8173828125
Batch 58: loss = 0.5376331210136414, acc = 0.8125
Batch 59: loss = 0.3822377920150757, acc = 0.8701171875
Batch 60: loss = 0.4891037344932556, acc = 0.83203125
Batch 61: loss = 0.44022929668426514, acc = 0.841796875
Batch 62: loss = 0.5522958040237427, acc = 0.81640625
Batch 63: loss = 0.4807034432888031, acc = 0.8359375
Batch 64: loss = 0.4485231935977936, acc = 0.8466796875
Batch 65: loss = 0.4824892282485962, acc = 0.8369140625
Batch 66: loss = 0.4345089793205261, acc = 0.859375
Batch 67: loss = 0.45094847679138184, acc = 0.841796875
Batch 68: loss = 0.47231677174568176, acc = 0.8466796875
Batch 69: loss = 0.425529807806015, acc = 0.857421875
Batch 70: loss = 0.5119034051895142, acc = 0.830078125
Batch 71: loss = 0.46341991424560547, acc = 0.8447265625
Batch 72: loss = 0.4291481077671051, acc = 0.865234375
Batch 73: loss = 0.5104883313179016, acc = 0.8466796875
Batch 74: loss = 0.5106856226921082, acc = 0.822265625
Batch 75: loss = 0.5802959203720093, acc = 0.8017578125
Batch 76: loss = 0.5250725150108337, acc = 0.8193359375
Batch 77: loss = 0.4856683313846588, acc = 0.833984375
Batch 78: loss = 0.46297597885131836, acc = 0.8583984375
Batch 79: loss = 0.4314516484737396, acc = 0.8583984375
Batch 80: loss = 0.43928855657577515, acc = 0.8349609375
Batch 81: loss = 0.4616701304912567, acc = 0.841796875
Batch 82: loss = 0.468012273311615, acc = 0.8466796875
Batch 83: loss = 0.4394589066505432, acc = 0.8515625
Batch 84: loss = 0.4825856387615204, acc = 0.8408203125
Batch 85: loss = 0.4930233359336853, acc = 0.8310546875
Batch 86: loss = 0.4791550040245056, acc = 0.8359375
Batch 87: loss = 0.46597328782081604, acc = 0.841796875
Batch 88: loss = 0.5258872509002686, acc = 0.8271484375
Batch 89: loss = 0.4772041440010071, acc = 0.8466796875
Batch 90: loss = 0.5135843753814697, acc = 0.8330078125
Batch 91: loss = 0.530117392539978, acc = 0.814453125
Batch 92: loss = 0.5216705203056335, acc = 0.8193359375
Batch 93: loss = 0.40943244099617004, acc = 0.875
Batch 94: loss = 0.43748030066490173, acc = 0.849609375
Batch 95: loss = 0.4609394073486328, acc = 0.83203125
Batch 96: loss = 0.5059114694595337, acc = 0.8271484375
Batch 97: loss = 0.515295684337616, acc = 0.830078125
Batch 98: loss = 0.4554567337036133, acc = 0.8349609375
Batch 99: loss = 0.50714510679245, acc = 0.8203125
Batch 100: loss = 0.5150293111801147, acc = 0.8271484375
Batch 101: loss = 0.5023061037063599, acc = 0.8134765625
Batch 102: loss = 0.49484574794769287, acc = 0.8330078125
Batch 103: loss = 0.48649412393569946, acc = 0.8359375
Batch 104: loss = 0.4535106420516968, acc = 0.8349609375
Batch 105: loss = 0.4182083308696747, acc = 0.8642578125
Batch 106: loss = 0.45785099267959595, acc = 0.853515625
Batch 107: loss = 0.45599374175071716, acc = 0.8505859375
Batch 108: loss = 0.46291306614875793, acc = 0.8271484375
Batch 109: loss = 0.4846816062927246, acc = 0.841796875
Batch 110: loss = 0.4268478751182556, acc = 0.8544921875
Batch 111: loss = 0.5044089555740356, acc = 0.82421875
Batch 112: loss = 0.485072523355484, acc = 0.845703125
Batch 113: loss = 0.48692524433135986, acc = 0.8427734375
Batch 114: loss = 0.49800965189933777, acc = 0.8349609375
Batch 115: loss = 0.4999138116836548, acc = 0.8349609375
Batch 116: loss = 0.5175938606262207, acc = 0.8349609375
Batch 117: loss = 0.44913536310195923, acc = 0.865234375
Batch 118: loss = 0.4282705783843994, acc = 0.8408203125
Batch 119: loss = 0.45078545808792114, acc = 0.859375
Batch 120: loss = 0.46610742807388306, acc = 0.8359375
Batch 121: loss = 0.4716678559780121, acc = 0.8564453125
Batch 122: loss = 0.42485311627388, acc = 0.8623046875
Batch 123: loss = 0.4559733271598816, acc = 0.8447265625
Batch 124: loss = 0.5305911302566528, acc = 0.818359375
Batch 125: loss = 0.526625394821167, acc = 0.830078125
Batch 126: loss = 0.49495095014572144, acc = 0.8369140625

Epoch 49/100
Batch 1: loss = 0.6220566034317017, acc = 0.8115234375
Batch 2: loss = 0.5560383796691895, acc = 0.8134765625
Batch 3: loss = 0.5262230634689331, acc = 0.82421875
Batch 4: loss = 0.4649696946144104, acc = 0.8583984375
Batch 5: loss = 0.5525879859924316, acc = 0.8173828125
Batch 6: loss = 0.5304624438285828, acc = 0.8271484375
Batch 7: loss = 0.4900369942188263, acc = 0.8427734375
Batch 8: loss = 0.49730151891708374, acc = 0.8330078125
Batch 9: loss = 0.45245593786239624, acc = 0.8427734375
Batch 10: loss = 0.45615196228027344, acc = 0.84375
Batch 11: loss = 0.5407240390777588, acc = 0.8076171875
Batch 12: loss = 0.4894275665283203, acc = 0.8232421875
Batch 13: loss = 0.458609402179718, acc = 0.8427734375
Batch 14: loss = 0.4872407615184784, acc = 0.833984375
Batch 15: loss = 0.46888577938079834, acc = 0.8466796875
Batch 16: loss = 0.4798109531402588, acc = 0.8388671875
Batch 17: loss = 0.5015125274658203, acc = 0.8427734375
Batch 18: loss = 0.5265810489654541, acc = 0.8310546875
Batch 19: loss = 0.4759230315685272, acc = 0.8447265625
Batch 20: loss = 0.49621546268463135, acc = 0.83203125
Batch 21: loss = 0.539745569229126, acc = 0.8271484375
Batch 22: loss = 0.4511520564556122, acc = 0.8525390625
Batch 23: loss = 0.49068087339401245, acc = 0.830078125
Batch 24: loss = 0.4589129686355591, acc = 0.8369140625
Batch 25: loss = 0.4858925938606262, acc = 0.833984375
Batch 26: loss = 0.4498128294944763, acc = 0.84375
Batch 27: loss = 0.5384600162506104, acc = 0.8271484375
Batch 28: loss = 0.5061761736869812, acc = 0.82421875
Batch 29: loss = 0.4788743853569031, acc = 0.8408203125
Batch 30: loss = 0.44957971572875977, acc = 0.841796875
Batch 31: loss = 0.5152512192726135, acc = 0.830078125
Batch 32: loss = 0.5349886417388916, acc = 0.828125
Batch 33: loss = 0.4728161096572876, acc = 0.833984375
Batch 34: loss = 0.4636738896369934, acc = 0.8466796875
Batch 35: loss = 0.4414232075214386, acc = 0.8408203125
Batch 36: loss = 0.4145985245704651, acc = 0.8564453125
Batch 37: loss = 0.42446690797805786, acc = 0.859375
Batch 38: loss = 0.45820266008377075, acc = 0.8564453125
Batch 39: loss = 0.44907352328300476, acc = 0.85546875
Batch 40: loss = 0.5001283884048462, acc = 0.8330078125
Batch 41: loss = 0.43696296215057373, acc = 0.8466796875
Batch 42: loss = 0.4403594732284546, acc = 0.8515625
Batch 43: loss = 0.4796223044395447, acc = 0.8359375
Batch 44: loss = 0.4118518829345703, acc = 0.8564453125
Batch 45: loss = 0.3994055390357971, acc = 0.8720703125
Batch 46: loss = 0.42789748311042786, acc = 0.8486328125
Batch 47: loss = 0.43855971097946167, acc = 0.861328125
Batch 48: loss = 0.44316399097442627, acc = 0.8427734375
Batch 49: loss = 0.4438859820365906, acc = 0.8603515625
Batch 50: loss = 0.44113361835479736, acc = 0.857421875
Batch 51: loss = 0.44966432452201843, acc = 0.84765625
Batch 52: loss = 0.5055540800094604, acc = 0.8125
Batch 53: loss = 0.4810575246810913, acc = 0.8330078125
Batch 54: loss = 0.3995695114135742, acc = 0.859375
Batch 55: loss = 0.42079219222068787, acc = 0.8583984375
Batch 56: loss = 0.47004103660583496, acc = 0.8359375
Batch 57: loss = 0.5158863067626953, acc = 0.8271484375
Batch 58: loss = 0.5174062252044678, acc = 0.8203125
Batch 59: loss = 0.37285614013671875, acc = 0.875
Batch 60: loss = 0.48408445715904236, acc = 0.830078125
Batch 61: loss = 0.44640716910362244, acc = 0.8447265625
Batch 62: loss = 0.5548222661018372, acc = 0.8154296875
Batch 63: loss = 0.45419955253601074, acc = 0.845703125
Batch 64: loss = 0.40687593817710876, acc = 0.8818359375
Batch 65: loss = 0.4683283567428589, acc = 0.8359375
Batch 66: loss = 0.47199541330337524, acc = 0.8369140625
Batch 67: loss = 0.4583631753921509, acc = 0.8388671875
Batch 68: loss = 0.473784863948822, acc = 0.845703125
Batch 69: loss = 0.3982185423374176, acc = 0.8701171875
Batch 70: loss = 0.5070555210113525, acc = 0.83984375
Batch 71: loss = 0.4596518278121948, acc = 0.83984375
Batch 72: loss = 0.42390382289886475, acc = 0.861328125
Batch 73: loss = 0.48916929960250854, acc = 0.8369140625
Batch 74: loss = 0.5083408355712891, acc = 0.833984375
Batch 75: loss = 0.556706964969635, acc = 0.822265625
Batch 76: loss = 0.5186039209365845, acc = 0.830078125
Batch 77: loss = 0.4491874575614929, acc = 0.8525390625
Batch 78: loss = 0.4998013973236084, acc = 0.841796875
Batch 79: loss = 0.44013702869415283, acc = 0.8603515625
Batch 80: loss = 0.4442654252052307, acc = 0.83984375
Batch 81: loss = 0.44577789306640625, acc = 0.837890625
Batch 82: loss = 0.4230787754058838, acc = 0.8544921875
Batch 83: loss = 0.45605212450027466, acc = 0.8427734375
Batch 84: loss = 0.4742013216018677, acc = 0.837890625
Batch 85: loss = 0.5343851447105408, acc = 0.8232421875
Batch 86: loss = 0.4425913691520691, acc = 0.857421875
Batch 87: loss = 0.4751132130622864, acc = 0.845703125
Batch 88: loss = 0.5106003880500793, acc = 0.830078125
Batch 89: loss = 0.4417189061641693, acc = 0.859375
Batch 90: loss = 0.47250813245773315, acc = 0.841796875
Batch 91: loss = 0.498119980096817, acc = 0.8408203125
Batch 92: loss = 0.5019915103912354, acc = 0.8486328125
Batch 93: loss = 0.4046816825866699, acc = 0.8623046875
Batch 94: loss = 0.42090731859207153, acc = 0.8583984375
Batch 95: loss = 0.44558799266815186, acc = 0.84765625
Batch 96: loss = 0.5323461890220642, acc = 0.8076171875
Batch 97: loss = 0.46080735325813293, acc = 0.8447265625
Batch 98: loss = 0.4420350193977356, acc = 0.8583984375
Batch 99: loss = 0.46885424852371216, acc = 0.84375
Batch 100: loss = 0.4983132481575012, acc = 0.826171875
Batch 101: loss = 0.45379820466041565, acc = 0.849609375
Batch 102: loss = 0.4879190921783447, acc = 0.837890625
Batch 103: loss = 0.4721243381500244, acc = 0.8427734375
Batch 104: loss = 0.4376826882362366, acc = 0.8544921875
Batch 105: loss = 0.43039247393608093, acc = 0.845703125
Batch 106: loss = 0.4943302571773529, acc = 0.8427734375
Batch 107: loss = 0.46892377734184265, acc = 0.84375
Batch 108: loss = 0.48797306418418884, acc = 0.8388671875
Batch 109: loss = 0.47107914090156555, acc = 0.8427734375
Batch 110: loss = 0.40689387917518616, acc = 0.865234375
Batch 111: loss = 0.4719516634941101, acc = 0.84375
Batch 112: loss = 0.481414794921875, acc = 0.8486328125
Batch 113: loss = 0.5066040754318237, acc = 0.830078125
Batch 114: loss = 0.47065529227256775, acc = 0.8525390625
Batch 115: loss = 0.4785396456718445, acc = 0.84375
Batch 116: loss = 0.5296865701675415, acc = 0.8232421875
Batch 117: loss = 0.4354349374771118, acc = 0.86328125
Batch 118: loss = 0.4107016324996948, acc = 0.8564453125
Batch 119: loss = 0.4539284408092499, acc = 0.8515625
Batch 120: loss = 0.4546702802181244, acc = 0.8388671875
Batch 121: loss = 0.4396948218345642, acc = 0.861328125
Batch 122: loss = 0.4292874336242676, acc = 0.853515625
Batch 123: loss = 0.42744186520576477, acc = 0.8505859375
Batch 124: loss = 0.48020943999290466, acc = 0.845703125
Batch 125: loss = 0.46151843667030334, acc = 0.8564453125
Batch 126: loss = 0.4696824848651886, acc = 0.8466796875

Epoch 50/100
Batch 1: loss = 0.614323079586029, acc = 0.8203125
Batch 2: loss = 0.5279058814048767, acc = 0.822265625
Batch 3: loss = 0.48015809059143066, acc = 0.841796875
Batch 4: loss = 0.46612921357154846, acc = 0.841796875
Batch 5: loss = 0.5361886024475098, acc = 0.8203125
Batch 6: loss = 0.49782875180244446, acc = 0.83203125
Batch 7: loss = 0.4378824532032013, acc = 0.8603515625
Batch 8: loss = 0.4361391067504883, acc = 0.8447265625
Batch 9: loss = 0.42803457379341125, acc = 0.8671875
Batch 10: loss = 0.4222072958946228, acc = 0.8642578125
Batch 11: loss = 0.4771789014339447, acc = 0.8330078125
Batch 12: loss = 0.47022485733032227, acc = 0.8359375
Batch 13: loss = 0.44010353088378906, acc = 0.861328125
Batch 14: loss = 0.45547226071357727, acc = 0.8447265625
Batch 15: loss = 0.44053345918655396, acc = 0.849609375
Batch 16: loss = 0.47705334424972534, acc = 0.8505859375
Batch 17: loss = 0.47797295451164246, acc = 0.841796875
Batch 18: loss = 0.5488182306289673, acc = 0.8212890625
Batch 19: loss = 0.4613199830055237, acc = 0.8369140625
Batch 20: loss = 0.4886603057384491, acc = 0.8330078125
Batch 21: loss = 0.4691217541694641, acc = 0.830078125
Batch 22: loss = 0.4217020273208618, acc = 0.8505859375
Batch 23: loss = 0.49539095163345337, acc = 0.8369140625
Batch 24: loss = 0.45296618342399597, acc = 0.8359375
Batch 25: loss = 0.44655922055244446, acc = 0.8330078125
Batch 26: loss = 0.4181908965110779, acc = 0.8505859375
Batch 27: loss = 0.5256538391113281, acc = 0.8203125
Batch 28: loss = 0.5211632251739502, acc = 0.81640625
Batch 29: loss = 0.48180463910102844, acc = 0.8388671875
Batch 30: loss = 0.45064669847488403, acc = 0.83984375
Batch 31: loss = 0.49035829305648804, acc = 0.826171875
Batch 32: loss = 0.58036208152771, acc = 0.798828125
Batch 33: loss = 0.4905964732170105, acc = 0.8388671875
Batch 34: loss = 0.4474928677082062, acc = 0.8583984375
Batch 35: loss = 0.43873897194862366, acc = 0.8486328125
Batch 36: loss = 0.3922708034515381, acc = 0.8720703125
Batch 37: loss = 0.4136260151863098, acc = 0.85546875
Batch 38: loss = 0.4831831455230713, acc = 0.8408203125
Batch 39: loss = 0.42186570167541504, acc = 0.8681640625
Batch 40: loss = 0.48592448234558105, acc = 0.8271484375
Batch 41: loss = 0.45020562410354614, acc = 0.83984375
Batch 42: loss = 0.45123612880706787, acc = 0.8408203125
Batch 43: loss = 0.5173491835594177, acc = 0.822265625
Batch 44: loss = 0.42230427265167236, acc = 0.8701171875
Batch 45: loss = 0.38368433713912964, acc = 0.8671875
Batch 46: loss = 0.39478960633277893, acc = 0.859375
Batch 47: loss = 0.4395558834075928, acc = 0.8447265625
Batch 48: loss = 0.4494526982307434, acc = 0.84375
Batch 49: loss = 0.40733957290649414, acc = 0.8623046875
Batch 50: loss = 0.42906635999679565, acc = 0.8623046875
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Batch 125: loss = 0.477272629737854, acc = 0.8349609375
Batch 126: loss = 0.4840047061443329, acc = 0.8359375
Saved checkpoint to weights.50.h5

Epoch 51/100
Batch 1: loss = 0.599141001701355, acc = 0.8154296875
Batch 2: loss = 0.5287084579467773, acc = 0.8232421875
Batch 3: loss = 0.4850977659225464, acc = 0.8408203125
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Batch 7: loss = 0.4294770658016205, acc = 0.8564453125
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Batch 9: loss = 0.42615753412246704, acc = 0.8583984375
Batch 10: loss = 0.38683608174324036, acc = 0.869140625
Batch 11: loss = 0.48561757802963257, acc = 0.8251953125
Batch 12: loss = 0.4398835301399231, acc = 0.8515625
Batch 13: loss = 0.42845818400382996, acc = 0.8583984375
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Batch 115: loss = 0.4725170433521271, acc = 0.8486328125
Batch 116: loss = 0.4871549904346466, acc = 0.841796875
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Batch 118: loss = 0.38435816764831543, acc = 0.873046875
Batch 119: loss = 0.41969040036201477, acc = 0.861328125
Batch 120: loss = 0.4295078217983246, acc = 0.8671875
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Batch 125: loss = 0.4591379463672638, acc = 0.85546875
Batch 126: loss = 0.4495961666107178, acc = 0.8447265625

Epoch 52/100
Batch 1: loss = 0.5703985095024109, acc = 0.82421875
Batch 2: loss = 0.5078921318054199, acc = 0.8349609375
Batch 3: loss = 0.4650466740131378, acc = 0.8466796875
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Batch 12: loss = 0.47906339168548584, acc = 0.8359375
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Batch 124: loss = 0.49622422456741333, acc = 0.828125
Batch 125: loss = 0.4778817594051361, acc = 0.8291015625
Batch 126: loss = 0.4396619498729706, acc = 0.8505859375

Epoch 53/100
Batch 1: loss = 0.5617682337760925, acc = 0.8251953125
Batch 2: loss = 0.496534138917923, acc = 0.8330078125
Batch 3: loss = 0.41874104738235474, acc = 0.869140625
Batch 4: loss = 0.4080435037612915, acc = 0.861328125
Batch 5: loss = 0.5067816376686096, acc = 0.833984375
Batch 6: loss = 0.5011094808578491, acc = 0.828125
Batch 7: loss = 0.42637890577316284, acc = 0.861328125
Batch 8: loss = 0.4090278446674347, acc = 0.8671875
Batch 9: loss = 0.4008325934410095, acc = 0.8720703125
Batch 10: loss = 0.36583805084228516, acc = 0.87109375
Batch 11: loss = 0.4358835518360138, acc = 0.8486328125
Batch 12: loss = 0.4532322287559509, acc = 0.8623046875
Batch 13: loss = 0.4285374879837036, acc = 0.8583984375
Batch 14: loss = 0.46077191829681396, acc = 0.8505859375
Batch 15: loss = 0.44558295607566833, acc = 0.857421875
Batch 16: loss = 0.4289214611053467, acc = 0.8505859375
Batch 17: loss = 0.4481050372123718, acc = 0.849609375
Batch 18: loss = 0.4735564589500427, acc = 0.8447265625
Batch 19: loss = 0.39898985624313354, acc = 0.86328125
Batch 20: loss = 0.42783209681510925, acc = 0.8603515625
Batch 21: loss = 0.4546660780906677, acc = 0.8359375
Batch 22: loss = 0.42535966634750366, acc = 0.849609375
Batch 23: loss = 0.4501437544822693, acc = 0.8349609375
Batch 24: loss = 0.40906432271003723, acc = 0.857421875
Batch 25: loss = 0.4368521273136139, acc = 0.8486328125
Batch 26: loss = 0.39021947979927063, acc = 0.87890625
Batch 27: loss = 0.49107468128204346, acc = 0.8271484375
Batch 28: loss = 0.42904752492904663, acc = 0.8486328125
Batch 29: loss = 0.4502972960472107, acc = 0.841796875
Batch 30: loss = 0.4002344012260437, acc = 0.86328125
Batch 31: loss = 0.46237173676490784, acc = 0.849609375
Batch 32: loss = 0.5307271480560303, acc = 0.81640625
Batch 33: loss = 0.3942926526069641, acc = 0.8603515625
Batch 34: loss = 0.48588550090789795, acc = 0.83984375
Batch 35: loss = 0.44360512495040894, acc = 0.85546875
Batch 36: loss = 0.3717038333415985, acc = 0.8583984375
Batch 37: loss = 0.390970379114151, acc = 0.8671875
Batch 38: loss = 0.38052475452423096, acc = 0.880859375
Batch 39: loss = 0.41216400265693665, acc = 0.861328125
Batch 40: loss = 0.4228525161743164, acc = 0.849609375
Batch 41: loss = 0.41785991191864014, acc = 0.861328125
Batch 42: loss = 0.4383392930030823, acc = 0.845703125
Batch 43: loss = 0.4739420413970947, acc = 0.837890625
Batch 44: loss = 0.38107335567474365, acc = 0.8671875
Batch 45: loss = 0.38054895401000977, acc = 0.8740234375
Batch 46: loss = 0.4071488380432129, acc = 0.8515625
Batch 47: loss = 0.4256298542022705, acc = 0.8583984375
Batch 48: loss = 0.40497779846191406, acc = 0.8701171875
Batch 49: loss = 0.37674230337142944, acc = 0.8671875
Batch 50: loss = 0.3978821635246277, acc = 0.8583984375
Batch 51: loss = 0.41033199429512024, acc = 0.853515625
Batch 52: loss = 0.4669342637062073, acc = 0.8359375
Batch 53: loss = 0.4202515184879303, acc = 0.8603515625
Batch 54: loss = 0.3364483714103699, acc = 0.884765625
Batch 55: loss = 0.3861656188964844, acc = 0.869140625
Batch 56: loss = 0.42698028683662415, acc = 0.859375
Batch 57: loss = 0.46904659271240234, acc = 0.8203125
Batch 58: loss = 0.446274995803833, acc = 0.84375
Batch 59: loss = 0.33857280015945435, acc = 0.8818359375
Batch 60: loss = 0.4316205382347107, acc = 0.837890625
Batch 61: loss = 0.4152565002441406, acc = 0.865234375
Batch 62: loss = 0.4924199879169464, acc = 0.8310546875
Batch 63: loss = 0.42107415199279785, acc = 0.853515625
Batch 64: loss = 0.3844958245754242, acc = 0.8740234375
Batch 65: loss = 0.41156497597694397, acc = 0.86328125
Batch 66: loss = 0.38548433780670166, acc = 0.87109375
Batch 67: loss = 0.4127177894115448, acc = 0.8642578125
Batch 68: loss = 0.4024888277053833, acc = 0.865234375
Batch 69: loss = 0.41055071353912354, acc = 0.85546875
Batch 70: loss = 0.47342976927757263, acc = 0.84375
Batch 71: loss = 0.43525680899620056, acc = 0.8603515625
Batch 72: loss = 0.41569381952285767, acc = 0.8603515625
Batch 73: loss = 0.4608707129955292, acc = 0.85546875
Batch 74: loss = 0.47198158502578735, acc = 0.83203125
Batch 75: loss = 0.5025354623794556, acc = 0.8369140625
Batch 76: loss = 0.4773207902908325, acc = 0.8486328125
Batch 77: loss = 0.44212034344673157, acc = 0.849609375
Batch 78: loss = 0.4128885865211487, acc = 0.8701171875
Batch 79: loss = 0.4100658595561981, acc = 0.8662109375
Batch 80: loss = 0.41755589842796326, acc = 0.8525390625
Batch 81: loss = 0.3958630859851837, acc = 0.869140625
Batch 82: loss = 0.4324996769428253, acc = 0.8583984375
Batch 83: loss = 0.41499170660972595, acc = 0.8505859375
Batch 84: loss = 0.4470253884792328, acc = 0.8525390625
Batch 85: loss = 0.4716654121875763, acc = 0.83203125
Batch 86: loss = 0.4428838789463043, acc = 0.8623046875
Batch 87: loss = 0.45114344358444214, acc = 0.8642578125
Batch 88: loss = 0.4808453321456909, acc = 0.83984375
Batch 89: loss = 0.40183886885643005, acc = 0.869140625
Batch 90: loss = 0.4553942382335663, acc = 0.8466796875
Batch 91: loss = 0.46129316091537476, acc = 0.8486328125
Batch 92: loss = 0.46301406621932983, acc = 0.83984375
Batch 93: loss = 0.3770517110824585, acc = 0.8720703125
Batch 94: loss = 0.3962082266807556, acc = 0.859375
Batch 95: loss = 0.39204567670822144, acc = 0.8681640625
Batch 96: loss = 0.4604839086532593, acc = 0.845703125
Batch 97: loss = 0.4343149662017822, acc = 0.8603515625
Batch 98: loss = 0.40722036361694336, acc = 0.8671875
Batch 99: loss = 0.4159356951713562, acc = 0.8544921875
Batch 100: loss = 0.49538105726242065, acc = 0.8212890625
Batch 101: loss = 0.45756834745407104, acc = 0.8359375
Batch 102: loss = 0.4472528398036957, acc = 0.8408203125
Batch 103: loss = 0.4722636938095093, acc = 0.8466796875
Batch 104: loss = 0.38906198740005493, acc = 0.8671875
Batch 105: loss = 0.43302541971206665, acc = 0.857421875
Batch 106: loss = 0.43451833724975586, acc = 0.85546875
Batch 107: loss = 0.3913404047489166, acc = 0.875
Batch 108: loss = 0.3991397023200989, acc = 0.8603515625
Batch 109: loss = 0.4114609360694885, acc = 0.8623046875
Batch 110: loss = 0.3909420967102051, acc = 0.873046875
Batch 111: loss = 0.51576828956604, acc = 0.833984375
Batch 112: loss = 0.41959148645401, acc = 0.8671875
Batch 113: loss = 0.447908490896225, acc = 0.845703125
Batch 114: loss = 0.4449054002761841, acc = 0.8544921875
Batch 115: loss = 0.43406838178634644, acc = 0.841796875
Batch 116: loss = 0.4670758545398712, acc = 0.8447265625
Batch 117: loss = 0.37923818826675415, acc = 0.869140625
Batch 118: loss = 0.393052875995636, acc = 0.857421875
Batch 119: loss = 0.4130846858024597, acc = 0.8515625
Batch 120: loss = 0.39109277725219727, acc = 0.8623046875
Batch 121: loss = 0.40431761741638184, acc = 0.87109375
Batch 122: loss = 0.3759019374847412, acc = 0.876953125
Batch 123: loss = 0.4134446680545807, acc = 0.8623046875
Batch 124: loss = 0.4734671115875244, acc = 0.84375
Batch 125: loss = 0.4280553460121155, acc = 0.861328125
Batch 126: loss = 0.44325482845306396, acc = 0.859375

Epoch 54/100
Batch 1: loss = 0.5634098052978516, acc = 0.84375
Batch 2: loss = 0.4936023950576782, acc = 0.8291015625
Batch 3: loss = 0.41544148325920105, acc = 0.8603515625
Batch 4: loss = 0.4079511761665344, acc = 0.861328125
Batch 5: loss = 0.47016364336013794, acc = 0.845703125
Batch 6: loss = 0.46000438928604126, acc = 0.833984375
Batch 7: loss = 0.4203540086746216, acc = 0.85546875
Batch 8: loss = 0.41363629698753357, acc = 0.8720703125
Batch 9: loss = 0.37406837940216064, acc = 0.8779296875
Batch 10: loss = 0.3744822144508362, acc = 0.8681640625
Batch 11: loss = 0.4210682213306427, acc = 0.8544921875
Batch 12: loss = 0.4245355725288391, acc = 0.861328125
Batch 13: loss = 0.3990054428577423, acc = 0.8662109375
Batch 14: loss = 0.448928564786911, acc = 0.8544921875
Batch 15: loss = 0.42263826727867126, acc = 0.8603515625
Batch 16: loss = 0.41220706701278687, acc = 0.8642578125
Batch 17: loss = 0.4383806586265564, acc = 0.8642578125
Batch 18: loss = 0.47757214307785034, acc = 0.845703125
Batch 19: loss = 0.43600255250930786, acc = 0.849609375
Batch 20: loss = 0.4317099452018738, acc = 0.859375
Batch 21: loss = 0.4317278265953064, acc = 0.857421875
Batch 22: loss = 0.41080570220947266, acc = 0.8642578125
Batch 23: loss = 0.461639940738678, acc = 0.845703125
Batch 24: loss = 0.3897157907485962, acc = 0.87109375
Batch 25: loss = 0.400016188621521, acc = 0.869140625
Batch 26: loss = 0.3686058521270752, acc = 0.8828125
Batch 27: loss = 0.46959221363067627, acc = 0.841796875
Batch 28: loss = 0.46508878469467163, acc = 0.8447265625
Batch 29: loss = 0.47009891271591187, acc = 0.8486328125
Batch 30: loss = 0.39836910367012024, acc = 0.8642578125
Batch 31: loss = 0.41778627038002014, acc = 0.87109375
Batch 32: loss = 0.5078820586204529, acc = 0.8291015625
Batch 33: loss = 0.388990581035614, acc = 0.8671875
Batch 34: loss = 0.41439664363861084, acc = 0.859375
Batch 35: loss = 0.41830894351005554, acc = 0.8662109375
Batch 36: loss = 0.3719664514064789, acc = 0.87109375
Batch 37: loss = 0.3652557134628296, acc = 0.87890625
Batch 38: loss = 0.4228811264038086, acc = 0.859375
Batch 39: loss = 0.386141836643219, acc = 0.8759765625
Batch 40: loss = 0.4369131028652191, acc = 0.861328125
Batch 41: loss = 0.4189571440219879, acc = 0.8583984375
Batch 42: loss = 0.4138752818107605, acc = 0.859375
Batch 43: loss = 0.4225614666938782, acc = 0.8564453125
Batch 44: loss = 0.3795773983001709, acc = 0.8837890625
Batch 45: loss = 0.39094918966293335, acc = 0.865234375
Batch 46: loss = 0.40361088514328003, acc = 0.875
Batch 47: loss = 0.4257155656814575, acc = 0.8515625
Batch 48: loss = 0.39812618494033813, acc = 0.875
Batch 49: loss = 0.3853673040866852, acc = 0.875
Batch 50: loss = 0.38719409704208374, acc = 0.8740234375
Batch 51: loss = 0.3878297805786133, acc = 0.8603515625
Batch 52: loss = 0.41283920407295227, acc = 0.849609375
Batch 53: loss = 0.44110631942749023, acc = 0.8603515625
Batch 54: loss = 0.346794456243515, acc = 0.8828125
Batch 55: loss = 0.36127302050590515, acc = 0.8857421875
Batch 56: loss = 0.42404764890670776, acc = 0.85546875
Batch 57: loss = 0.4802125096321106, acc = 0.8330078125
Batch 58: loss = 0.4169946312904358, acc = 0.86328125
Batch 59: loss = 0.339542955160141, acc = 0.8876953125
Batch 60: loss = 0.3952976167201996, acc = 0.873046875
Batch 61: loss = 0.39180219173431396, acc = 0.8740234375
Batch 62: loss = 0.4504584074020386, acc = 0.8408203125
Batch 63: loss = 0.3783533573150635, acc = 0.8740234375
Batch 64: loss = 0.36540868878364563, acc = 0.8837890625
Batch 65: loss = 0.43948131799697876, acc = 0.8544921875
Batch 66: loss = 0.41345155239105225, acc = 0.8515625
Batch 67: loss = 0.4294520616531372, acc = 0.8564453125
Batch 68: loss = 0.4183806777000427, acc = 0.853515625
Batch 69: loss = 0.36235398054122925, acc = 0.8779296875
Batch 70: loss = 0.4899415373802185, acc = 0.8310546875
Batch 71: loss = 0.4236120879650116, acc = 0.8662109375
Batch 72: loss = 0.36692988872528076, acc = 0.8701171875
Batch 73: loss = 0.46327483654022217, acc = 0.849609375
Batch 74: loss = 0.4654778838157654, acc = 0.8408203125
Batch 75: loss = 0.4725174903869629, acc = 0.8349609375
Batch 76: loss = 0.4924626052379608, acc = 0.8349609375
Batch 77: loss = 0.39722371101379395, acc = 0.8798828125
Batch 78: loss = 0.42144185304641724, acc = 0.869140625
Batch 79: loss = 0.40090519189834595, acc = 0.8681640625
Batch 80: loss = 0.38966765999794006, acc = 0.8740234375
Batch 81: loss = 0.3917694687843323, acc = 0.869140625
Batch 82: loss = 0.3779587745666504, acc = 0.876953125
Batch 83: loss = 0.40245845913887024, acc = 0.84765625
Batch 84: loss = 0.4466097056865692, acc = 0.8515625
Batch 85: loss = 0.47575485706329346, acc = 0.8408203125
Batch 86: loss = 0.45996105670928955, acc = 0.8408203125
Batch 87: loss = 0.4226144552230835, acc = 0.8583984375
Batch 88: loss = 0.46970638632774353, acc = 0.845703125
Batch 89: loss = 0.4122689366340637, acc = 0.8642578125
Batch 90: loss = 0.4287393093109131, acc = 0.853515625
Batch 91: loss = 0.42445117235183716, acc = 0.8525390625
Batch 92: loss = 0.4787749648094177, acc = 0.83203125
Batch 93: loss = 0.3883519768714905, acc = 0.8701171875
Batch 94: loss = 0.39076346158981323, acc = 0.869140625
Batch 95: loss = 0.36885297298431396, acc = 0.875
Batch 96: loss = 0.4579342007637024, acc = 0.8466796875
Batch 97: loss = 0.4428059458732605, acc = 0.8505859375
Batch 98: loss = 0.4192538261413574, acc = 0.86328125
Batch 99: loss = 0.42288967967033386, acc = 0.849609375
Batch 100: loss = 0.4385887086391449, acc = 0.8388671875
Batch 101: loss = 0.41317325830459595, acc = 0.861328125
Batch 102: loss = 0.43081825971603394, acc = 0.8623046875
Batch 103: loss = 0.4549494981765747, acc = 0.849609375
Batch 104: loss = 0.4008881449699402, acc = 0.869140625
Batch 105: loss = 0.38258567452430725, acc = 0.8671875
Batch 106: loss = 0.4096437692642212, acc = 0.853515625
Batch 107: loss = 0.38296687602996826, acc = 0.869140625
Batch 108: loss = 0.4050932228565216, acc = 0.8623046875
Batch 109: loss = 0.4195204973220825, acc = 0.8505859375
Batch 110: loss = 0.37494081258773804, acc = 0.8818359375
Batch 111: loss = 0.4660835266113281, acc = 0.84375
Batch 112: loss = 0.42866572737693787, acc = 0.857421875
Batch 113: loss = 0.40335988998413086, acc = 0.8701171875
Batch 114: loss = 0.43200060725212097, acc = 0.853515625
Batch 115: loss = 0.4250277280807495, acc = 0.8544921875
Batch 116: loss = 0.4788256287574768, acc = 0.8427734375
Batch 117: loss = 0.4204360544681549, acc = 0.8720703125
Batch 118: loss = 0.3855757713317871, acc = 0.8740234375
Batch 119: loss = 0.40855762362480164, acc = 0.857421875
Batch 120: loss = 0.3947739601135254, acc = 0.8701171875
Batch 121: loss = 0.4287060499191284, acc = 0.8486328125
Batch 122: loss = 0.4116382598876953, acc = 0.85546875
Batch 123: loss = 0.38744431734085083, acc = 0.8857421875
Batch 124: loss = 0.4288078546524048, acc = 0.8515625
Batch 125: loss = 0.4493944048881531, acc = 0.857421875
Batch 126: loss = 0.4217758774757385, acc = 0.861328125

Epoch 55/100
Batch 1: loss = 0.5480189323425293, acc = 0.8330078125
Batch 2: loss = 0.44899511337280273, acc = 0.8525390625
Batch 3: loss = 0.45161816477775574, acc = 0.8515625
Batch 4: loss = 0.35328346490859985, acc = 0.880859375
Batch 5: loss = 0.4431823790073395, acc = 0.8564453125
Batch 6: loss = 0.44992101192474365, acc = 0.8486328125
Batch 7: loss = 0.3853999972343445, acc = 0.873046875
Batch 8: loss = 0.4756920337677002, acc = 0.8466796875
Batch 9: loss = 0.39963462948799133, acc = 0.8681640625
Batch 10: loss = 0.37616246938705444, acc = 0.8701171875
Batch 11: loss = 0.4220471978187561, acc = 0.84765625
Batch 12: loss = 0.41395139694213867, acc = 0.8603515625
Batch 13: loss = 0.4379686713218689, acc = 0.8486328125
Batch 14: loss = 0.4189472496509552, acc = 0.859375
Batch 15: loss = 0.39355379343032837, acc = 0.87109375
Batch 16: loss = 0.4277256727218628, acc = 0.8662109375
Batch 17: loss = 0.45845645666122437, acc = 0.8564453125
Batch 18: loss = 0.4376447796821594, acc = 0.8544921875
Batch 19: loss = 0.418890118598938, acc = 0.8642578125
Batch 20: loss = 0.42190730571746826, acc = 0.8544921875
Batch 21: loss = 0.437233030796051, acc = 0.8515625
Batch 22: loss = 0.4181787669658661, acc = 0.861328125
Batch 23: loss = 0.4258362650871277, acc = 0.849609375
Batch 24: loss = 0.396666020154953, acc = 0.8740234375
Batch 25: loss = 0.39433133602142334, acc = 0.861328125
Batch 26: loss = 0.37441256642341614, acc = 0.87109375
Batch 27: loss = 0.4785245656967163, acc = 0.83984375
Batch 28: loss = 0.4425041079521179, acc = 0.8505859375
Batch 29: loss = 0.42019185423851013, acc = 0.85546875
Batch 30: loss = 0.37913286685943604, acc = 0.8642578125
Batch 31: loss = 0.4244094491004944, acc = 0.86328125
Batch 32: loss = 0.4653042256832123, acc = 0.841796875
Batch 33: loss = 0.4092189371585846, acc = 0.8642578125
Batch 34: loss = 0.450645387172699, acc = 0.8466796875
Batch 35: loss = 0.4253363609313965, acc = 0.861328125
Batch 36: loss = 0.3910948932170868, acc = 0.861328125
Batch 37: loss = 0.38084876537323, acc = 0.8701171875
Batch 38: loss = 0.400831401348114, acc = 0.8671875
Batch 39: loss = 0.3661714792251587, acc = 0.880859375
Batch 40: loss = 0.41563501954078674, acc = 0.861328125
Batch 41: loss = 0.38530415296554565, acc = 0.8681640625
Batch 42: loss = 0.40965747833251953, acc = 0.859375
Batch 43: loss = 0.4473007321357727, acc = 0.8369140625
Batch 44: loss = 0.348263680934906, acc = 0.8857421875
Batch 45: loss = 0.35653185844421387, acc = 0.87890625
Batch 46: loss = 0.37309885025024414, acc = 0.87109375
Batch 47: loss = 0.3846607208251953, acc = 0.8740234375
Batch 48: loss = 0.3975634276866913, acc = 0.873046875
Batch 49: loss = 0.3432295322418213, acc = 0.88671875
Batch 50: loss = 0.3709343671798706, acc = 0.87109375
Batch 51: loss = 0.3963061571121216, acc = 0.861328125
Batch 52: loss = 0.42601490020751953, acc = 0.8603515625
Batch 53: loss = 0.40205711126327515, acc = 0.8681640625
Batch 54: loss = 0.3333445191383362, acc = 0.8828125
Batch 55: loss = 0.3374095559120178, acc = 0.880859375
Batch 56: loss = 0.39155611395835876, acc = 0.859375
Batch 57: loss = 0.43306025862693787, acc = 0.8525390625
Batch 58: loss = 0.4384274482727051, acc = 0.8564453125
Batch 59: loss = 0.3346041142940521, acc = 0.8876953125
Batch 60: loss = 0.39414721727371216, acc = 0.87109375
Batch 61: loss = 0.39280688762664795, acc = 0.873046875
Batch 62: loss = 0.48716408014297485, acc = 0.833984375
Batch 63: loss = 0.3871135413646698, acc = 0.8720703125
Batch 64: loss = 0.3642624616622925, acc = 0.876953125
Batch 65: loss = 0.427130788564682, acc = 0.86328125
Batch 66: loss = 0.35972559452056885, acc = 0.8759765625
Batch 67: loss = 0.39201343059539795, acc = 0.861328125
Batch 68: loss = 0.38256698846817017, acc = 0.869140625
Batch 69: loss = 0.3801574110984802, acc = 0.869140625
Batch 70: loss = 0.4830127954483032, acc = 0.8271484375
Batch 71: loss = 0.42953044176101685, acc = 0.8583984375
Batch 72: loss = 0.3924049437046051, acc = 0.8681640625
Batch 73: loss = 0.4573385715484619, acc = 0.8466796875
Batch 74: loss = 0.4893006682395935, acc = 0.8310546875
Batch 75: loss = 0.5047022104263306, acc = 0.830078125
Batch 76: loss = 0.4459238350391388, acc = 0.853515625
Batch 77: loss = 0.40216296911239624, acc = 0.8662109375
Batch 78: loss = 0.4187861979007721, acc = 0.861328125
Batch 79: loss = 0.3878883421421051, acc = 0.869140625
Batch 80: loss = 0.3839322030544281, acc = 0.859375
Batch 81: loss = 0.39104342460632324, acc = 0.857421875
Batch 82: loss = 0.36468803882598877, acc = 0.87109375
Batch 83: loss = 0.4074648916721344, acc = 0.8623046875
Batch 84: loss = 0.401043176651001, acc = 0.861328125
Batch 85: loss = 0.472616583108902, acc = 0.8310546875
Batch 86: loss = 0.4152984619140625, acc = 0.857421875
Batch 87: loss = 0.40041467547416687, acc = 0.86328125
Batch 88: loss = 0.44942131638526917, acc = 0.8466796875
Batch 89: loss = 0.41249388456344604, acc = 0.865234375
Batch 90: loss = 0.44329386949539185, acc = 0.8603515625
Batch 91: loss = 0.4392835199832916, acc = 0.849609375
Batch 92: loss = 0.4531151056289673, acc = 0.8515625
Batch 93: loss = 0.3736378252506256, acc = 0.8720703125
Batch 94: loss = 0.4268512725830078, acc = 0.859375
Batch 95: loss = 0.40259870886802673, acc = 0.861328125
Batch 96: loss = 0.43857112526893616, acc = 0.865234375
Batch 97: loss = 0.4029819965362549, acc = 0.8515625
Batch 98: loss = 0.4078144133090973, acc = 0.8662109375
Batch 99: loss = 0.4405081868171692, acc = 0.8486328125
Batch 100: loss = 0.43168362975120544, acc = 0.8525390625
Batch 101: loss = 0.4310235381126404, acc = 0.8525390625
Batch 102: loss = 0.46311652660369873, acc = 0.8388671875
Batch 103: loss = 0.4604175090789795, acc = 0.8486328125
Batch 104: loss = 0.3889811038970947, acc = 0.861328125
Batch 105: loss = 0.37524425983428955, acc = 0.8701171875
Batch 106: loss = 0.4097084403038025, acc = 0.8564453125
Batch 107: loss = 0.39321714639663696, acc = 0.861328125
Batch 108: loss = 0.37525999546051025, acc = 0.8701171875
Batch 109: loss = 0.38429397344589233, acc = 0.8642578125
Batch 110: loss = 0.3559556007385254, acc = 0.876953125
Batch 111: loss = 0.43939608335494995, acc = 0.8525390625
Batch 112: loss = 0.43336424231529236, acc = 0.853515625
Batch 113: loss = 0.3995738625526428, acc = 0.875
Batch 114: loss = 0.4231228232383728, acc = 0.8623046875
Batch 115: loss = 0.4276909828186035, acc = 0.8564453125
Batch 116: loss = 0.4597155451774597, acc = 0.8388671875
Batch 117: loss = 0.3863678276538849, acc = 0.875
Batch 118: loss = 0.35761404037475586, acc = 0.88671875
Batch 119: loss = 0.4035171866416931, acc = 0.8662109375
Batch 120: loss = 0.3757883310317993, acc = 0.8828125
Batch 121: loss = 0.40677258372306824, acc = 0.865234375
Batch 122: loss = 0.40854790806770325, acc = 0.861328125
Batch 123: loss = 0.3684452772140503, acc = 0.880859375
Batch 124: loss = 0.47056740522384644, acc = 0.837890625
Batch 125: loss = 0.46997496485710144, acc = 0.8388671875
Batch 126: loss = 0.45743605494499207, acc = 0.849609375

Epoch 56/100
Batch 1: loss = 0.5569112300872803, acc = 0.837890625
Batch 2: loss = 0.4579542875289917, acc = 0.8427734375
Batch 3: loss = 0.42744287848472595, acc = 0.859375
Batch 4: loss = 0.40810054540634155, acc = 0.853515625
Batch 5: loss = 0.4124632179737091, acc = 0.8662109375
Batch 6: loss = 0.4900115728378296, acc = 0.8349609375
Batch 7: loss = 0.39200684428215027, acc = 0.8662109375
Batch 8: loss = 0.4213007092475891, acc = 0.8603515625
Batch 9: loss = 0.38650864362716675, acc = 0.880859375
Batch 10: loss = 0.3636491894721985, acc = 0.869140625
Batch 11: loss = 0.4319305419921875, acc = 0.841796875
Batch 12: loss = 0.44638705253601074, acc = 0.8466796875
Batch 13: loss = 0.37469303607940674, acc = 0.86328125
Batch 14: loss = 0.406310111284256, acc = 0.8623046875
Batch 15: loss = 0.4141961932182312, acc = 0.85546875
Batch 16: loss = 0.41624414920806885, acc = 0.8564453125
Batch 17: loss = 0.4486536681652069, acc = 0.8525390625
Batch 18: loss = 0.4685036540031433, acc = 0.837890625
Batch 19: loss = 0.4151484966278076, acc = 0.8623046875
Batch 20: loss = 0.4367274045944214, acc = 0.8525390625
Batch 21: loss = 0.44035035371780396, acc = 0.853515625
Batch 22: loss = 0.39662349224090576, acc = 0.849609375
Batch 23: loss = 0.44774723052978516, acc = 0.85546875
Batch 24: loss = 0.40087181329727173, acc = 0.875
Batch 25: loss = 0.40780720114707947, acc = 0.875
Batch 26: loss = 0.4098969101905823, acc = 0.86328125
Batch 27: loss = 0.45975303649902344, acc = 0.845703125
Batch 28: loss = 0.44079408049583435, acc = 0.8583984375
Batch 29: loss = 0.4288778305053711, acc = 0.8544921875
Batch 30: loss = 0.3705276846885681, acc = 0.876953125
Batch 31: loss = 0.41705137491226196, acc = 0.8564453125
Batch 32: loss = 0.4725092947483063, acc = 0.8427734375
Batch 33: loss = 0.36008715629577637, acc = 0.880859375
Batch 34: loss = 0.4186999797821045, acc = 0.8583984375
Batch 35: loss = 0.400531530380249, acc = 0.87109375
Batch 36: loss = 0.37473174929618835, acc = 0.873046875
Batch 37: loss = 0.3978080153465271, acc = 0.8603515625
Batch 38: loss = 0.3852689266204834, acc = 0.8779296875
Batch 39: loss = 0.3858473002910614, acc = 0.8759765625
Batch 40: loss = 0.43429404497146606, acc = 0.861328125
Batch 41: loss = 0.39441561698913574, acc = 0.86328125
Batch 42: loss = 0.394255131483078, acc = 0.8759765625
Batch 43: loss = 0.4189577102661133, acc = 0.8603515625
Batch 44: loss = 0.37762966752052307, acc = 0.8720703125
Batch 45: loss = 0.40361297130584717, acc = 0.859375
Batch 46: loss = 0.39930230379104614, acc = 0.8603515625
Batch 47: loss = 0.40820401906967163, acc = 0.873046875
Batch 48: loss = 0.41519099473953247, acc = 0.86328125
Batch 49: loss = 0.36987531185150146, acc = 0.8759765625
Batch 50: loss = 0.4151405394077301, acc = 0.865234375
Batch 51: loss = 0.39733967185020447, acc = 0.853515625
Batch 52: loss = 0.4093089699745178, acc = 0.85546875
Batch 53: loss = 0.4215529263019562, acc = 0.861328125
Batch 54: loss = 0.3222907781600952, acc = 0.88671875
Batch 55: loss = 0.3507259786128998, acc = 0.880859375
Batch 56: loss = 0.39038583636283875, acc = 0.8525390625
Batch 57: loss = 0.4933941960334778, acc = 0.83203125
Batch 58: loss = 0.43349501490592957, acc = 0.86328125
Batch 59: loss = 0.3225539028644562, acc = 0.8896484375
Batch 60: loss = 0.42494380474090576, acc = 0.8603515625
Batch 61: loss = 0.40804341435432434, acc = 0.8681640625
Batch 62: loss = 0.5092253684997559, acc = 0.8291015625
Batch 63: loss = 0.39663270115852356, acc = 0.8720703125
Batch 64: loss = 0.37537068128585815, acc = 0.8720703125
Batch 65: loss = 0.3918312191963196, acc = 0.87890625
Batch 66: loss = 0.41405540704727173, acc = 0.8564453125
Batch 67: loss = 0.38432541489601135, acc = 0.8671875
Batch 68: loss = 0.4171797037124634, acc = 0.853515625
Batch 69: loss = 0.3818146586418152, acc = 0.8671875
Batch 70: loss = 0.4597529172897339, acc = 0.853515625
Batch 71: loss = 0.437968373298645, acc = 0.845703125
Batch 72: loss = 0.3787965774536133, acc = 0.876953125
Batch 73: loss = 0.4662642180919647, acc = 0.8525390625
Batch 74: loss = 0.44711583852767944, acc = 0.8427734375
Batch 75: loss = 0.4784996509552002, acc = 0.8349609375
Batch 76: loss = 0.45361560583114624, acc = 0.8486328125
Batch 77: loss = 0.4022507071495056, acc = 0.859375
Batch 78: loss = 0.4372722804546356, acc = 0.8662109375
Batch 79: loss = 0.37456437945365906, acc = 0.8798828125
Batch 80: loss = 0.36227020621299744, acc = 0.876953125
Batch 81: loss = 0.39084917306900024, acc = 0.8720703125
Batch 82: loss = 0.38444674015045166, acc = 0.875
Batch 83: loss = 0.403128445148468, acc = 0.8642578125
Batch 84: loss = 0.4203759431838989, acc = 0.8671875
Batch 85: loss = 0.46022194623947144, acc = 0.83984375
Batch 86: loss = 0.4496883749961853, acc = 0.857421875
Batch 87: loss = 0.39046287536621094, acc = 0.861328125
Batch 88: loss = 0.46330732107162476, acc = 0.85546875
Batch 89: loss = 0.3876928687095642, acc = 0.8740234375
Batch 90: loss = 0.42651766538619995, acc = 0.8525390625
Batch 91: loss = 0.4309632182121277, acc = 0.8564453125
Batch 92: loss = 0.4495471715927124, acc = 0.8447265625
Batch 93: loss = 0.38262006640434265, acc = 0.869140625
Batch 94: loss = 0.3758231997489929, acc = 0.865234375
Batch 95: loss = 0.39199134707450867, acc = 0.8642578125
Batch 96: loss = 0.45084530115127563, acc = 0.8388671875
Batch 97: loss = 0.39044317603111267, acc = 0.8671875
Batch 98: loss = 0.413222074508667, acc = 0.8681640625
Batch 99: loss = 0.4362335801124573, acc = 0.8515625
Batch 100: loss = 0.43581509590148926, acc = 0.8447265625
Batch 101: loss = 0.40727341175079346, acc = 0.859375
Batch 102: loss = 0.43195468187332153, acc = 0.849609375
Batch 103: loss = 0.4304385483264923, acc = 0.8623046875
Batch 104: loss = 0.3800102472305298, acc = 0.8681640625
Batch 105: loss = 0.37530210614204407, acc = 0.8701171875
Batch 106: loss = 0.4124275743961334, acc = 0.8603515625
Batch 107: loss = 0.39052534103393555, acc = 0.8671875
Batch 108: loss = 0.40439581871032715, acc = 0.8623046875
Batch 109: loss = 0.4227747321128845, acc = 0.8515625
Batch 110: loss = 0.38728511333465576, acc = 0.8671875
Batch 111: loss = 0.43418022990226746, acc = 0.84765625
Batch 112: loss = 0.40518760681152344, acc = 0.8623046875
Batch 113: loss = 0.44289350509643555, acc = 0.859375
Batch 114: loss = 0.4154875874519348, acc = 0.873046875
Batch 115: loss = 0.4168016314506531, acc = 0.86328125
Batch 116: loss = 0.4153907895088196, acc = 0.8623046875
Batch 117: loss = 0.35922640562057495, acc = 0.8779296875
Batch 118: loss = 0.37937161326408386, acc = 0.873046875
Batch 119: loss = 0.4149835407733917, acc = 0.8623046875
Batch 120: loss = 0.3628685772418976, acc = 0.8779296875
Batch 121: loss = 0.40621137619018555, acc = 0.859375
Batch 122: loss = 0.3863953649997711, acc = 0.869140625
Batch 123: loss = 0.3806825876235962, acc = 0.8681640625
Batch 124: loss = 0.4480452537536621, acc = 0.845703125
Batch 125: loss = 0.42015478014945984, acc = 0.8564453125
Batch 126: loss = 0.4198342561721802, acc = 0.8701171875

Epoch 57/100
Batch 1: loss = 0.5301406979560852, acc = 0.83984375
Batch 2: loss = 0.4576391279697418, acc = 0.8466796875
Batch 3: loss = 0.4235806167125702, acc = 0.853515625
Batch 4: loss = 0.40273645520210266, acc = 0.8720703125
Batch 5: loss = 0.41250884532928467, acc = 0.8662109375
Batch 6: loss = 0.4306963384151459, acc = 0.853515625
Batch 7: loss = 0.3943009376525879, acc = 0.869140625
Batch 8: loss = 0.4419419765472412, acc = 0.859375
Batch 9: loss = 0.3470810055732727, acc = 0.88671875
Batch 10: loss = 0.36729562282562256, acc = 0.876953125
Batch 11: loss = 0.40641218423843384, acc = 0.8623046875
Batch 12: loss = 0.401856005191803, acc = 0.8642578125
Batch 13: loss = 0.3887118697166443, acc = 0.8623046875
Batch 14: loss = 0.4017382860183716, acc = 0.861328125
Batch 15: loss = 0.3748486638069153, acc = 0.87109375
Batch 16: loss = 0.4139748811721802, acc = 0.865234375
Batch 17: loss = 0.4021340608596802, acc = 0.8642578125
Batch 18: loss = 0.4390368163585663, acc = 0.8583984375
Batch 19: loss = 0.42468032240867615, acc = 0.8642578125
Batch 20: loss = 0.4162268042564392, acc = 0.873046875
Batch 21: loss = 0.3796542286872864, acc = 0.8642578125
Batch 22: loss = 0.39190033078193665, acc = 0.8642578125
Batch 23: loss = 0.4321650564670563, acc = 0.8564453125
Batch 24: loss = 0.38167276978492737, acc = 0.8642578125
Batch 25: loss = 0.40706342458724976, acc = 0.8603515625
Batch 26: loss = 0.36313122510910034, acc = 0.880859375
Batch 27: loss = 0.4666691720485687, acc = 0.853515625
Batch 28: loss = 0.4465036392211914, acc = 0.8427734375
Batch 29: loss = 0.40579754114151, acc = 0.8525390625
Batch 30: loss = 0.3766365051269531, acc = 0.869140625
Batch 31: loss = 0.40924370288848877, acc = 0.8681640625
Batch 32: loss = 0.4316912889480591, acc = 0.86328125
Batch 33: loss = 0.3754611015319824, acc = 0.869140625
Batch 34: loss = 0.4050626754760742, acc = 0.8720703125
Batch 35: loss = 0.4048255681991577, acc = 0.8642578125
Batch 36: loss = 0.3357042670249939, acc = 0.884765625
Batch 37: loss = 0.3591260015964508, acc = 0.8857421875
Batch 38: loss = 0.3752344250679016, acc = 0.8798828125
Batch 39: loss = 0.36149364709854126, acc = 0.8828125
Batch 40: loss = 0.4027532935142517, acc = 0.86328125
Batch 41: loss = 0.38093823194503784, acc = 0.8720703125
Batch 42: loss = 0.3942580819129944, acc = 0.861328125
Batch 43: loss = 0.4560941159725189, acc = 0.849609375
Batch 44: loss = 0.38377049565315247, acc = 0.8779296875
Batch 45: loss = 0.37510019540786743, acc = 0.8720703125
Batch 46: loss = 0.36048951745033264, acc = 0.869140625
Batch 47: loss = 0.3864074647426605, acc = 0.876953125
Batch 48: loss = 0.36704665422439575, acc = 0.8759765625
Batch 49: loss = 0.3476998209953308, acc = 0.8837890625
Batch 50: loss = 0.39265716075897217, acc = 0.875
Batch 51: loss = 0.39071017503738403, acc = 0.865234375
Batch 52: loss = 0.41872525215148926, acc = 0.8544921875
Batch 53: loss = 0.4111398160457611, acc = 0.86328125
Batch 54: loss = 0.31297925114631653, acc = 0.8876953125
Batch 55: loss = 0.31763696670532227, acc = 0.8935546875
Batch 56: loss = 0.4138459861278534, acc = 0.8623046875
Batch 57: loss = 0.424902081489563, acc = 0.845703125
Batch 58: loss = 0.4440271258354187, acc = 0.8525390625
Batch 59: loss = 0.3393135964870453, acc = 0.880859375
Batch 60: loss = 0.37714648246765137, acc = 0.8642578125
Batch 61: loss = 0.36619073152542114, acc = 0.8876953125
Batch 62: loss = 0.45597711205482483, acc = 0.8525390625
Batch 63: loss = 0.3676491975784302, acc = 0.8779296875
Batch 64: loss = 0.33204060792922974, acc = 0.888671875
Batch 65: loss = 0.38621222972869873, acc = 0.865234375
Batch 66: loss = 0.3437654376029968, acc = 0.87109375
Batch 67: loss = 0.3531861901283264, acc = 0.8818359375
Batch 68: loss = 0.3855922818183899, acc = 0.87109375
Batch 69: loss = 0.3378138840198517, acc = 0.8955078125
Batch 70: loss = 0.4203285574913025, acc = 0.8583984375
Batch 71: loss = 0.41696897149086, acc = 0.8515625
Batch 72: loss = 0.3589927554130554, acc = 0.8759765625
Batch 73: loss = 0.4397495985031128, acc = 0.8525390625
Batch 74: loss = 0.4350859522819519, acc = 0.853515625
Batch 75: loss = 0.4488670527935028, acc = 0.8564453125
Batch 76: loss = 0.42384350299835205, acc = 0.849609375
Batch 77: loss = 0.37558218836784363, acc = 0.86328125
Batch 78: loss = 0.3913286030292511, acc = 0.87890625
Batch 79: loss = 0.3560197949409485, acc = 0.876953125
Batch 80: loss = 0.3570569157600403, acc = 0.861328125
Batch 81: loss = 0.38567492365837097, acc = 0.8662109375
Batch 82: loss = 0.37886911630630493, acc = 0.87109375
Batch 83: loss = 0.3739219903945923, acc = 0.8759765625
Batch 84: loss = 0.43747392296791077, acc = 0.8505859375
Batch 85: loss = 0.457891583442688, acc = 0.849609375
Batch 86: loss = 0.4319581985473633, acc = 0.865234375
Batch 87: loss = 0.3728960156440735, acc = 0.876953125
Batch 88: loss = 0.4589180052280426, acc = 0.8505859375
Batch 89: loss = 0.37836360931396484, acc = 0.8779296875
Batch 90: loss = 0.40192198753356934, acc = 0.8720703125
Batch 91: loss = 0.43079808354377747, acc = 0.8505859375
Batch 92: loss = 0.4551892876625061, acc = 0.8603515625
Batch 93: loss = 0.3540387749671936, acc = 0.8837890625
Batch 94: loss = 0.3671027421951294, acc = 0.87109375
Batch 95: loss = 0.38836389780044556, acc = 0.87109375
Batch 96: loss = 0.3843402862548828, acc = 0.876953125
Batch 97: loss = 0.3823379874229431, acc = 0.8642578125
Batch 98: loss = 0.40209752321243286, acc = 0.8623046875
Batch 99: loss = 0.4129049479961395, acc = 0.857421875
Batch 100: loss = 0.4335765242576599, acc = 0.8466796875
Batch 101: loss = 0.38426265120506287, acc = 0.87109375
Batch 102: loss = 0.40470463037490845, acc = 0.857421875
Batch 103: loss = 0.4198659062385559, acc = 0.849609375
Batch 104: loss = 0.36013391613960266, acc = 0.875
Batch 105: loss = 0.35747742652893066, acc = 0.8818359375
Batch 106: loss = 0.38176387548446655, acc = 0.87109375
Batch 107: loss = 0.382779598236084, acc = 0.8720703125
Batch 108: loss = 0.40208637714385986, acc = 0.845703125
Batch 109: loss = 0.40456879138946533, acc = 0.8603515625
Batch 110: loss = 0.3662804961204529, acc = 0.876953125
Batch 111: loss = 0.44357457756996155, acc = 0.8525390625
Batch 112: loss = 0.42484521865844727, acc = 0.8603515625
Batch 113: loss = 0.4000658094882965, acc = 0.8564453125
Batch 114: loss = 0.3866276144981384, acc = 0.875
Batch 115: loss = 0.40684133768081665, acc = 0.8603515625
Batch 116: loss = 0.4335276484489441, acc = 0.8544921875
Batch 117: loss = 0.35581251978874207, acc = 0.8857421875
Batch 118: loss = 0.3553889989852905, acc = 0.875
Batch 119: loss = 0.3873596489429474, acc = 0.8740234375
Batch 120: loss = 0.3434969484806061, acc = 0.87890625
Batch 121: loss = 0.40523457527160645, acc = 0.857421875
Batch 122: loss = 0.3928486704826355, acc = 0.861328125
Batch 123: loss = 0.36484813690185547, acc = 0.8779296875
Batch 124: loss = 0.43430671095848083, acc = 0.849609375
Batch 125: loss = 0.44081538915634155, acc = 0.84375
Batch 126: loss = 0.42395296692848206, acc = 0.861328125

Epoch 58/100
Batch 1: loss = 0.5176063776016235, acc = 0.84375
Batch 2: loss = 0.4563085436820984, acc = 0.8466796875
Batch 3: loss = 0.41988372802734375, acc = 0.8603515625
Batch 4: loss = 0.3941982388496399, acc = 0.869140625
Batch 5: loss = 0.45089420676231384, acc = 0.8642578125
Batch 6: loss = 0.4463634490966797, acc = 0.84765625
Batch 7: loss = 0.3928569555282593, acc = 0.86328125
Batch 8: loss = 0.40865230560302734, acc = 0.85546875
Batch 9: loss = 0.37041962146759033, acc = 0.8720703125
Batch 10: loss = 0.36367788910865784, acc = 0.880859375
Batch 11: loss = 0.4031101167201996, acc = 0.86328125
Batch 12: loss = 0.4092927873134613, acc = 0.8642578125
Batch 13: loss = 0.4041915535926819, acc = 0.8681640625
Batch 14: loss = 0.41415780782699585, acc = 0.861328125
Batch 15: loss = 0.39293909072875977, acc = 0.8603515625
Batch 16: loss = 0.3973205089569092, acc = 0.8701171875
Batch 17: loss = 0.4146154224872589, acc = 0.8671875
Batch 18: loss = 0.4114297330379486, acc = 0.8662109375
Batch 19: loss = 0.39595893025398254, acc = 0.875
Batch 20: loss = 0.4060530364513397, acc = 0.8583984375
Batch 21: loss = 0.41252848505973816, acc = 0.8671875
Batch 22: loss = 0.3907906711101532, acc = 0.8701171875
Batch 23: loss = 0.42924070358276367, acc = 0.8603515625
Batch 24: loss = 0.3622448444366455, acc = 0.8779296875
Batch 25: loss = 0.37388932704925537, acc = 0.8759765625
Batch 26: loss = 0.37262099981307983, acc = 0.8701171875
Batch 27: loss = 0.4514094293117523, acc = 0.859375
Batch 28: loss = 0.4095636010169983, acc = 0.869140625
Batch 29: loss = 0.41156333684921265, acc = 0.857421875
Batch 30: loss = 0.3750123381614685, acc = 0.8779296875
Batch 31: loss = 0.44367119669914246, acc = 0.86328125
Batch 32: loss = 0.4713221490383148, acc = 0.8291015625
Batch 33: loss = 0.3513945937156677, acc = 0.875
Batch 34: loss = 0.4253402650356293, acc = 0.853515625
Batch 35: loss = 0.3907475769519806, acc = 0.8681640625
Batch 36: loss = 0.36196887493133545, acc = 0.875
Batch 37: loss = 0.3230396509170532, acc = 0.890625
Batch 38: loss = 0.3468707203865051, acc = 0.875
Batch 39: loss = 0.3599037528038025, acc = 0.880859375
Batch 40: loss = 0.3979935944080353, acc = 0.8701171875
Batch 41: loss = 0.37435436248779297, acc = 0.8818359375
Batch 42: loss = 0.38061678409576416, acc = 0.861328125
Batch 43: loss = 0.4091590642929077, acc = 0.8662109375
Batch 44: loss = 0.36321401596069336, acc = 0.876953125
Batch 45: loss = 0.32309678196907043, acc = 0.888671875
Batch 46: loss = 0.35714370012283325, acc = 0.884765625
Batch 47: loss = 0.3712787628173828, acc = 0.8798828125
Batch 48: loss = 0.38405710458755493, acc = 0.875
Batch 49: loss = 0.36828169226646423, acc = 0.8798828125
Batch 50: loss = 0.38781243562698364, acc = 0.857421875
Batch 51: loss = 0.36769402027130127, acc = 0.8662109375
Batch 52: loss = 0.3844894766807556, acc = 0.873046875
Batch 53: loss = 0.39219728112220764, acc = 0.869140625
Batch 54: loss = 0.3057864308357239, acc = 0.8876953125
Batch 55: loss = 0.3365253508090973, acc = 0.892578125
Batch 56: loss = 0.37443387508392334, acc = 0.87109375
Batch 57: loss = 0.46084487438201904, acc = 0.84765625
Batch 58: loss = 0.43305504322052, acc = 0.849609375
Batch 59: loss = 0.33180028200149536, acc = 0.8779296875
Batch 60: loss = 0.39383822679519653, acc = 0.87109375
Batch 61: loss = 0.3827429413795471, acc = 0.87109375
Batch 62: loss = 0.452645480632782, acc = 0.845703125
Batch 63: loss = 0.377292275428772, acc = 0.876953125
Batch 64: loss = 0.3538206219673157, acc = 0.888671875
Batch 65: loss = 0.3796561062335968, acc = 0.8701171875
Batch 66: loss = 0.3804198205471039, acc = 0.8759765625
Batch 67: loss = 0.3752475380897522, acc = 0.859375
Batch 68: loss = 0.39578163623809814, acc = 0.8603515625
Batch 69: loss = 0.3741335868835449, acc = 0.8671875
Batch 70: loss = 0.47896069288253784, acc = 0.8408203125
Batch 71: loss = 0.39852190017700195, acc = 0.8623046875
Batch 72: loss = 0.36429139971733093, acc = 0.8857421875
Batch 73: loss = 0.4588366150856018, acc = 0.8583984375
Batch 74: loss = 0.4473001956939697, acc = 0.83984375
Batch 75: loss = 0.47593003511428833, acc = 0.84765625
Batch 76: loss = 0.4503486156463623, acc = 0.849609375
Batch 77: loss = 0.3578553795814514, acc = 0.8681640625
Batch 78: loss = 0.4186180830001831, acc = 0.865234375
Batch 79: loss = 0.344940721988678, acc = 0.8837890625
Batch 80: loss = 0.326077401638031, acc = 0.87890625
Batch 81: loss = 0.3829658627510071, acc = 0.865234375
Batch 82: loss = 0.363533079624176, acc = 0.880859375
Batch 83: loss = 0.3850215673446655, acc = 0.869140625
Batch 84: loss = 0.39269426465034485, acc = 0.8740234375
Batch 85: loss = 0.44493359327316284, acc = 0.8544921875
Batch 86: loss = 0.40488141775131226, acc = 0.8564453125
Batch 87: loss = 0.38127246499061584, acc = 0.875
Batch 88: loss = 0.44011151790618896, acc = 0.8623046875
Batch 89: loss = 0.3861503303050995, acc = 0.86328125
Batch 90: loss = 0.3855557441711426, acc = 0.8642578125
Batch 91: loss = 0.4096800684928894, acc = 0.85546875
Batch 92: loss = 0.4165832996368408, acc = 0.873046875
Batch 93: loss = 0.3631669878959656, acc = 0.884765625
Batch 94: loss = 0.3592991232872009, acc = 0.880859375
Batch 95: loss = 0.36036473512649536, acc = 0.8876953125
Batch 96: loss = 0.4144517779350281, acc = 0.869140625
Batch 97: loss = 0.43050292134284973, acc = 0.8642578125
Batch 98: loss = 0.37801581621170044, acc = 0.8740234375
Batch 99: loss = 0.4177316427230835, acc = 0.86328125
Batch 100: loss = 0.4360344409942627, acc = 0.8486328125
Batch 101: loss = 0.3603594899177551, acc = 0.884765625
Batch 102: loss = 0.41232526302337646, acc = 0.861328125
Batch 103: loss = 0.38704416155815125, acc = 0.873046875
Batch 104: loss = 0.3761710524559021, acc = 0.865234375
Batch 105: loss = 0.36964768171310425, acc = 0.875
Batch 106: loss = 0.3751906156539917, acc = 0.8671875
Batch 107: loss = 0.40112268924713135, acc = 0.8603515625
Batch 108: loss = 0.38527941703796387, acc = 0.86328125
Batch 109: loss = 0.3920827805995941, acc = 0.87109375
Batch 110: loss = 0.3647008240222931, acc = 0.8818359375
Batch 111: loss = 0.42754700779914856, acc = 0.8515625
Batch 112: loss = 0.3991062343120575, acc = 0.8642578125
Batch 113: loss = 0.43931275606155396, acc = 0.8408203125
Batch 114: loss = 0.4185347259044647, acc = 0.865234375
Batch 115: loss = 0.38299083709716797, acc = 0.875
Batch 116: loss = 0.4475998282432556, acc = 0.8427734375
Batch 117: loss = 0.3607097268104553, acc = 0.890625
Batch 118: loss = 0.3597204387187958, acc = 0.869140625
Batch 119: loss = 0.38078463077545166, acc = 0.86328125
Batch 120: loss = 0.3565446138381958, acc = 0.876953125
Batch 121: loss = 0.38978058099746704, acc = 0.8583984375
Batch 122: loss = 0.39937278628349304, acc = 0.87109375
Batch 123: loss = 0.3860975205898285, acc = 0.869140625
Batch 124: loss = 0.44828593730926514, acc = 0.8369140625
Batch 125: loss = 0.41918492317199707, acc = 0.859375
Batch 126: loss = 0.4379384517669678, acc = 0.8603515625

Epoch 59/100
Batch 1: loss = 0.5110637545585632, acc = 0.84375
Batch 2: loss = 0.44161027669906616, acc = 0.841796875
Batch 3: loss = 0.4066261053085327, acc = 0.857421875
Batch 4: loss = 0.37153196334838867, acc = 0.87890625
Batch 5: loss = 0.4556322395801544, acc = 0.8427734375
Batch 6: loss = 0.41128009557724, acc = 0.869140625
Batch 7: loss = 0.39199113845825195, acc = 0.8642578125
Batch 8: loss = 0.35357701778411865, acc = 0.8798828125
Batch 9: loss = 0.3605015277862549, acc = 0.8798828125
Batch 10: loss = 0.36038416624069214, acc = 0.8876953125
Batch 11: loss = 0.41830694675445557, acc = 0.861328125
Batch 12: loss = 0.3856338560581207, acc = 0.8671875
Batch 13: loss = 0.3587924838066101, acc = 0.888671875
Batch 14: loss = 0.3809301555156708, acc = 0.873046875
Batch 15: loss = 0.39993104338645935, acc = 0.8759765625
Batch 16: loss = 0.4181467294692993, acc = 0.86328125
Batch 17: loss = 0.4241594970226288, acc = 0.8671875
Batch 18: loss = 0.4269249439239502, acc = 0.8525390625
Batch 19: loss = 0.38689106702804565, acc = 0.8740234375
Batch 20: loss = 0.3826437294483185, acc = 0.8681640625
Batch 21: loss = 0.4174039363861084, acc = 0.849609375
Batch 22: loss = 0.390084445476532, acc = 0.876953125
Batch 23: loss = 0.43433552980422974, acc = 0.8525390625
Batch 24: loss = 0.3480181396007538, acc = 0.8720703125
Batch 25: loss = 0.3975895047187805, acc = 0.857421875
Batch 26: loss = 0.37250250577926636, acc = 0.873046875
Batch 27: loss = 0.45502662658691406, acc = 0.8525390625
Batch 28: loss = 0.43265286087989807, acc = 0.8544921875
Batch 29: loss = 0.41458532214164734, acc = 0.8642578125
Batch 30: loss = 0.3866496980190277, acc = 0.857421875
Batch 31: loss = 0.40358877182006836, acc = 0.8642578125
Batch 32: loss = 0.4708223044872284, acc = 0.830078125
Batch 33: loss = 0.3870656490325928, acc = 0.8671875
Batch 34: loss = 0.42612871527671814, acc = 0.8544921875
Batch 35: loss = 0.35625317692756653, acc = 0.8798828125
Batch 36: loss = 0.3281342089176178, acc = 0.8896484375
Batch 37: loss = 0.325717031955719, acc = 0.888671875
Batch 38: loss = 0.3698312044143677, acc = 0.8759765625
Batch 39: loss = 0.31005188822746277, acc = 0.8935546875
Batch 40: loss = 0.3950037360191345, acc = 0.873046875
Batch 41: loss = 0.3862888813018799, acc = 0.8623046875
Batch 42: loss = 0.38554856181144714, acc = 0.875
Batch 43: loss = 0.41508591175079346, acc = 0.853515625
Batch 44: loss = 0.3585065007209778, acc = 0.8818359375
Batch 45: loss = 0.33154696226119995, acc = 0.8896484375
Batch 46: loss = 0.3514239192008972, acc = 0.87890625
Batch 47: loss = 0.36523813009262085, acc = 0.8740234375
Batch 48: loss = 0.36213332414627075, acc = 0.8837890625
Batch 49: loss = 0.36682701110839844, acc = 0.876953125
Batch 50: loss = 0.38010501861572266, acc = 0.87109375
Batch 51: loss = 0.3655853569507599, acc = 0.8818359375
Batch 52: loss = 0.3787806034088135, acc = 0.873046875
Batch 53: loss = 0.3785983622074127, acc = 0.8681640625
Batch 54: loss = 0.3136810064315796, acc = 0.8955078125
Batch 55: loss = 0.33600306510925293, acc = 0.884765625
Batch 56: loss = 0.3670768737792969, acc = 0.86328125
Batch 57: loss = 0.42630454897880554, acc = 0.845703125
Batch 58: loss = 0.4355356693267822, acc = 0.859375
Batch 59: loss = 0.32076314091682434, acc = 0.8857421875
Batch 60: loss = 0.39923858642578125, acc = 0.8740234375
Batch 61: loss = 0.36997735500335693, acc = 0.8818359375
Batch 62: loss = 0.47805485129356384, acc = 0.8349609375
Batch 63: loss = 0.4118945598602295, acc = 0.86328125
Batch 64: loss = 0.34092509746551514, acc = 0.88671875
Batch 65: loss = 0.35462862253189087, acc = 0.8896484375
Batch 66: loss = 0.3744257092475891, acc = 0.873046875
Batch 67: loss = 0.36671847105026245, acc = 0.8818359375
Batch 68: loss = 0.3862680494785309, acc = 0.8671875
Batch 69: loss = 0.325164794921875, acc = 0.8974609375
Batch 70: loss = 0.41953223943710327, acc = 0.8583984375
Batch 71: loss = 0.40106427669525146, acc = 0.861328125
Batch 72: loss = 0.37561583518981934, acc = 0.8681640625
Batch 73: loss = 0.4171556532382965, acc = 0.86328125
Batch 74: loss = 0.4137873947620392, acc = 0.8505859375
Batch 75: loss = 0.4656056761741638, acc = 0.845703125
Batch 76: loss = 0.40543171763420105, acc = 0.873046875
Batch 77: loss = 0.3477339446544647, acc = 0.8740234375
Batch 78: loss = 0.3846721649169922, acc = 0.875
Batch 79: loss = 0.35927078127861023, acc = 0.875
Batch 80: loss = 0.3488943576812744, acc = 0.8798828125
Batch 81: loss = 0.395813524723053, acc = 0.87109375
Batch 82: loss = 0.37462151050567627, acc = 0.8701171875
Batch 83: loss = 0.37999963760375977, acc = 0.86328125
Batch 84: loss = 0.38150620460510254, acc = 0.8759765625
Batch 85: loss = 0.429135262966156, acc = 0.8505859375
Batch 86: loss = 0.3766607344150543, acc = 0.875
Batch 87: loss = 0.4140150845050812, acc = 0.861328125
Batch 88: loss = 0.4447500705718994, acc = 0.8515625
Batch 89: loss = 0.3371577858924866, acc = 0.892578125
Batch 90: loss = 0.3809282183647156, acc = 0.8720703125
Batch 91: loss = 0.4001961648464203, acc = 0.8779296875
Batch 92: loss = 0.4247790575027466, acc = 0.857421875
Batch 93: loss = 0.3620285391807556, acc = 0.8857421875
Batch 94: loss = 0.3629482090473175, acc = 0.8828125
Batch 95: loss = 0.38397255539894104, acc = 0.8798828125
Batch 96: loss = 0.4066237807273865, acc = 0.865234375
Batch 97: loss = 0.3804771304130554, acc = 0.8818359375
Batch 98: loss = 0.3956061005592346, acc = 0.869140625
Batch 99: loss = 0.4167422652244568, acc = 0.8486328125
Batch 100: loss = 0.4024195671081543, acc = 0.853515625
Batch 101: loss = 0.3797447681427002, acc = 0.876953125
Batch 102: loss = 0.4045160412788391, acc = 0.8583984375
Batch 103: loss = 0.4020846486091614, acc = 0.8662109375
Batch 104: loss = 0.36675724387168884, acc = 0.8759765625
Batch 105: loss = 0.3755350708961487, acc = 0.876953125
Batch 106: loss = 0.3764601945877075, acc = 0.8701171875
Batch 107: loss = 0.36947891116142273, acc = 0.869140625
Batch 108: loss = 0.4201084077358246, acc = 0.8466796875
Batch 109: loss = 0.38674142956733704, acc = 0.865234375
Batch 110: loss = 0.36512190103530884, acc = 0.87890625
Batch 111: loss = 0.4165615439414978, acc = 0.8564453125
Batch 112: loss = 0.40407639741897583, acc = 0.86328125
Batch 113: loss = 0.38210245966911316, acc = 0.869140625
Batch 114: loss = 0.41155168414115906, acc = 0.8720703125
Batch 115: loss = 0.4039525091648102, acc = 0.85546875
Batch 116: loss = 0.4038321375846863, acc = 0.873046875
Batch 117: loss = 0.371466726064682, acc = 0.8740234375
Batch 118: loss = 0.35167914628982544, acc = 0.875
Batch 119: loss = 0.39085501432418823, acc = 0.876953125
Batch 120: loss = 0.3848627507686615, acc = 0.865234375
Batch 121: loss = 0.3762050271034241, acc = 0.880859375
Batch 122: loss = 0.3783321678638458, acc = 0.8720703125
Batch 123: loss = 0.3802703022956848, acc = 0.875
Batch 124: loss = 0.4341064393520355, acc = 0.8486328125
Batch 125: loss = 0.4191017150878906, acc = 0.857421875
Batch 126: loss = 0.4142846465110779, acc = 0.869140625

Epoch 60/100
Batch 1: loss = 0.49322059750556946, acc = 0.857421875
Batch 2: loss = 0.4242976903915405, acc = 0.8564453125
Batch 3: loss = 0.41609227657318115, acc = 0.869140625
Batch 4: loss = 0.3851454257965088, acc = 0.865234375
Batch 5: loss = 0.4583081603050232, acc = 0.837890625
Batch 6: loss = 0.41670846939086914, acc = 0.865234375
Batch 7: loss = 0.3938993215560913, acc = 0.87109375
Batch 8: loss = 0.3994137942790985, acc = 0.87109375
Batch 9: loss = 0.3764178156852722, acc = 0.8564453125
Batch 10: loss = 0.3208264708518982, acc = 0.890625
Batch 11: loss = 0.4001424312591553, acc = 0.8681640625
Batch 12: loss = 0.37507569789886475, acc = 0.8681640625
Batch 13: loss = 0.37702175974845886, acc = 0.873046875
Batch 14: loss = 0.4083986282348633, acc = 0.8681640625
Batch 15: loss = 0.3681040406227112, acc = 0.8671875
Batch 16: loss = 0.38901740312576294, acc = 0.8720703125
Batch 17: loss = 0.38601604104042053, acc = 0.8720703125
Batch 18: loss = 0.3780723214149475, acc = 0.876953125
Batch 19: loss = 0.3785524070262909, acc = 0.8701171875
Batch 20: loss = 0.4090419411659241, acc = 0.86328125
Batch 21: loss = 0.38292956352233887, acc = 0.8671875
Batch 22: loss = 0.3721216917037964, acc = 0.8759765625
Batch 23: loss = 0.39654505252838135, acc = 0.8564453125
Batch 24: loss = 0.350124716758728, acc = 0.8720703125
Batch 25: loss = 0.40978753566741943, acc = 0.849609375
Batch 26: loss = 0.3448020815849304, acc = 0.8798828125
Batch 27: loss = 0.39788180589675903, acc = 0.857421875
Batch 28: loss = 0.39606714248657227, acc = 0.8564453125
Batch 29: loss = 0.419879674911499, acc = 0.8564453125
Batch 30: loss = 0.3805124759674072, acc = 0.873046875
Batch 31: loss = 0.40757524967193604, acc = 0.8603515625
Batch 32: loss = 0.427298367023468, acc = 0.853515625
Batch 33: loss = 0.3410818576812744, acc = 0.884765625
Batch 34: loss = 0.3863471746444702, acc = 0.8701171875
Batch 35: loss = 0.3505406379699707, acc = 0.8876953125
Batch 36: loss = 0.30886608362197876, acc = 0.900390625
Batch 37: loss = 0.3434961140155792, acc = 0.89453125
Batch 38: loss = 0.37061190605163574, acc = 0.8720703125
Batch 39: loss = 0.3162531852722168, acc = 0.888671875
Batch 40: loss = 0.3675925135612488, acc = 0.8779296875
Batch 41: loss = 0.3543599545955658, acc = 0.865234375
Batch 42: loss = 0.40842384099960327, acc = 0.869140625
Batch 43: loss = 0.4109668433666229, acc = 0.859375
Batch 44: loss = 0.34301888942718506, acc = 0.88671875
Batch 45: loss = 0.31038010120391846, acc = 0.8876953125
Batch 46: loss = 0.33472320437431335, acc = 0.8798828125
Batch 47: loss = 0.36771851778030396, acc = 0.869140625
Batch 48: loss = 0.3635285496711731, acc = 0.8779296875
Batch 49: loss = 0.3538706302642822, acc = 0.88671875
Batch 50: loss = 0.3702755570411682, acc = 0.8720703125
Batch 51: loss = 0.36792904138565063, acc = 0.873046875
Batch 52: loss = 0.38098132610321045, acc = 0.8759765625
Batch 53: loss = 0.3844427466392517, acc = 0.869140625
Batch 54: loss = 0.2956252694129944, acc = 0.8916015625
Batch 55: loss = 0.32541072368621826, acc = 0.8935546875
Batch 56: loss = 0.38071081042289734, acc = 0.8681640625
Batch 57: loss = 0.3953355550765991, acc = 0.8603515625
Batch 58: loss = 0.40082719922065735, acc = 0.8681640625
Batch 59: loss = 0.3012537360191345, acc = 0.8974609375
Batch 60: loss = 0.3550392687320709, acc = 0.880859375
Batch 61: loss = 0.3359096646308899, acc = 0.8837890625
Batch 62: loss = 0.40617093443870544, acc = 0.8603515625
Batch 63: loss = 0.36936283111572266, acc = 0.8798828125
Batch 64: loss = 0.3381136655807495, acc = 0.8828125
Batch 65: loss = 0.4019816517829895, acc = 0.8701171875
Batch 66: loss = 0.35885509848594666, acc = 0.880859375
Batch 67: loss = 0.3573976457118988, acc = 0.8740234375
Batch 68: loss = 0.4172593355178833, acc = 0.8583984375
Batch 69: loss = 0.3105384111404419, acc = 0.8994140625
Batch 70: loss = 0.4456169903278351, acc = 0.853515625
Batch 71: loss = 0.4086061120033264, acc = 0.857421875
Batch 72: loss = 0.3629026710987091, acc = 0.8828125
Batch 73: loss = 0.44605880975723267, acc = 0.84375
Batch 74: loss = 0.4117853045463562, acc = 0.849609375
Batch 75: loss = 0.44170066714286804, acc = 0.857421875
Batch 76: loss = 0.44562339782714844, acc = 0.8505859375
Batch 77: loss = 0.33551597595214844, acc = 0.8759765625
Batch 78: loss = 0.37395399808883667, acc = 0.8701171875
Batch 79: loss = 0.36220329999923706, acc = 0.8857421875
Batch 80: loss = 0.33976900577545166, acc = 0.8720703125
Batch 81: loss = 0.3875052332878113, acc = 0.869140625
Batch 82: loss = 0.36672353744506836, acc = 0.876953125
Batch 83: loss = 0.3812553584575653, acc = 0.873046875
Batch 84: loss = 0.3968249559402466, acc = 0.869140625
Batch 85: loss = 0.42798078060150146, acc = 0.861328125
Batch 86: loss = 0.38598835468292236, acc = 0.8720703125
Batch 87: loss = 0.3774949014186859, acc = 0.87109375
Batch 88: loss = 0.4136051833629608, acc = 0.8662109375
Batch 89: loss = 0.37293386459350586, acc = 0.8681640625
Batch 90: loss = 0.4032711088657379, acc = 0.8671875
Batch 91: loss = 0.40431851148605347, acc = 0.8642578125
Batch 92: loss = 0.4380868375301361, acc = 0.8505859375
Batch 93: loss = 0.309691846370697, acc = 0.888671875
Batch 94: loss = 0.3270784616470337, acc = 0.873046875
Batch 95: loss = 0.33497148752212524, acc = 0.890625
Batch 96: loss = 0.4214475750923157, acc = 0.853515625
Batch 97: loss = 0.38798320293426514, acc = 0.8818359375
Batch 98: loss = 0.39357250928878784, acc = 0.869140625
Batch 99: loss = 0.37780630588531494, acc = 0.873046875
Batch 100: loss = 0.3919891119003296, acc = 0.875
Batch 101: loss = 0.358590304851532, acc = 0.880859375
Batch 102: loss = 0.3859151601791382, acc = 0.859375
Batch 103: loss = 0.39798635244369507, acc = 0.861328125
Batch 104: loss = 0.34850186109542847, acc = 0.8837890625
Batch 105: loss = 0.3369382619857788, acc = 0.890625
Batch 106: loss = 0.35409265756607056, acc = 0.8759765625
Batch 107: loss = 0.36348962783813477, acc = 0.86328125
Batch 108: loss = 0.3761311173439026, acc = 0.87890625
Batch 109: loss = 0.3996213972568512, acc = 0.8701171875
Batch 110: loss = 0.3709738552570343, acc = 0.880859375
Batch 111: loss = 0.4190588593482971, acc = 0.8564453125
Batch 112: loss = 0.39693641662597656, acc = 0.8662109375
Batch 113: loss = 0.39623093605041504, acc = 0.8623046875
Batch 114: loss = 0.4033851623535156, acc = 0.873046875
Batch 115: loss = 0.41057661175727844, acc = 0.8603515625
Batch 116: loss = 0.4167216420173645, acc = 0.869140625
Batch 117: loss = 0.36992013454437256, acc = 0.8798828125
Batch 118: loss = 0.36649876832962036, acc = 0.876953125
Batch 119: loss = 0.3734722137451172, acc = 0.8740234375
Batch 120: loss = 0.3818754255771637, acc = 0.869140625
Batch 121: loss = 0.3752349019050598, acc = 0.8759765625
Batch 122: loss = 0.339049756526947, acc = 0.88671875
Batch 123: loss = 0.36688941717147827, acc = 0.876953125
Batch 124: loss = 0.38874590396881104, acc = 0.87109375
Batch 125: loss = 0.39319995045661926, acc = 0.8720703125
Batch 126: loss = 0.38816365599632263, acc = 0.8779296875
Saved checkpoint to weights.60.h5

Epoch 61/100
Batch 1: loss = 0.4673198163509369, acc = 0.8515625
Batch 2: loss = 0.3772905766963959, acc = 0.8740234375
Batch 3: loss = 0.4019491374492645, acc = 0.8701171875
Batch 4: loss = 0.3803916871547699, acc = 0.8779296875
Batch 5: loss = 0.40768933296203613, acc = 0.87109375
Batch 6: loss = 0.4029449224472046, acc = 0.8525390625
Batch 7: loss = 0.35718661546707153, acc = 0.876953125
Batch 8: loss = 0.41213780641555786, acc = 0.859375
Batch 9: loss = 0.34943389892578125, acc = 0.88671875
Batch 10: loss = 0.3268841505050659, acc = 0.888671875
Batch 11: loss = 0.38224804401397705, acc = 0.8544921875
Batch 12: loss = 0.4090331792831421, acc = 0.84375
Batch 13: loss = 0.36153262853622437, acc = 0.8837890625
Batch 14: loss = 0.372139573097229, acc = 0.896484375
Batch 15: loss = 0.3819354176521301, acc = 0.8798828125
Batch 16: loss = 0.38301026821136475, acc = 0.869140625
Batch 17: loss = 0.42858776450157166, acc = 0.85546875
Batch 18: loss = 0.38995161652565, acc = 0.87109375
Batch 19: loss = 0.3487975299358368, acc = 0.8916015625
Batch 20: loss = 0.374955415725708, acc = 0.87109375
Batch 21: loss = 0.38158851861953735, acc = 0.873046875
Batch 22: loss = 0.36404895782470703, acc = 0.8818359375
Batch 23: loss = 0.39308756589889526, acc = 0.8662109375
Batch 24: loss = 0.35899367928504944, acc = 0.865234375
Batch 25: loss = 0.38106569647789, acc = 0.875
Batch 26: loss = 0.3450963497161865, acc = 0.884765625
Batch 27: loss = 0.43568146228790283, acc = 0.849609375
Batch 28: loss = 0.44521886110305786, acc = 0.859375
Batch 29: loss = 0.37992623448371887, acc = 0.8642578125
Batch 30: loss = 0.3637527823448181, acc = 0.8779296875
Batch 31: loss = 0.38277602195739746, acc = 0.8740234375
Batch 32: loss = 0.4441441297531128, acc = 0.84375
Batch 33: loss = 0.36836400628089905, acc = 0.8720703125
Batch 34: loss = 0.38816267251968384, acc = 0.87109375
Batch 35: loss = 0.3743935525417328, acc = 0.8662109375
Batch 36: loss = 0.3242131471633911, acc = 0.8896484375
Batch 37: loss = 0.3226674795150757, acc = 0.8984375
Batch 38: loss = 0.33029136061668396, acc = 0.8984375
Batch 39: loss = 0.3519209027290344, acc = 0.8876953125
Batch 40: loss = 0.3653237819671631, acc = 0.8837890625
Batch 41: loss = 0.35291555523872375, acc = 0.8779296875
Batch 42: loss = 0.3944343328475952, acc = 0.8671875
Batch 43: loss = 0.40056681632995605, acc = 0.8662109375
Batch 44: loss = 0.35898780822753906, acc = 0.875
Batch 45: loss = 0.3537697196006775, acc = 0.8681640625
Batch 46: loss = 0.34959518909454346, acc = 0.8759765625
Batch 47: loss = 0.3599027991294861, acc = 0.8818359375
Batch 48: loss = 0.37826767563819885, acc = 0.8681640625
Batch 49: loss = 0.3618406653404236, acc = 0.8779296875
Batch 50: loss = 0.3779211640357971, acc = 0.8779296875
Batch 51: loss = 0.32152891159057617, acc = 0.8857421875
Batch 52: loss = 0.39325857162475586, acc = 0.865234375
Batch 53: loss = 0.40031009912490845, acc = 0.86328125
Batch 54: loss = 0.3206683099269867, acc = 0.8818359375
Batch 55: loss = 0.3223327398300171, acc = 0.8955078125
Batch 56: loss = 0.32387015223503113, acc = 0.8935546875
Batch 57: loss = 0.430768221616745, acc = 0.8525390625
Batch 58: loss = 0.4038415849208832, acc = 0.86328125
Batch 59: loss = 0.3210897445678711, acc = 0.8955078125
Batch 60: loss = 0.36567622423171997, acc = 0.8798828125
Batch 61: loss = 0.3505229949951172, acc = 0.890625
Batch 62: loss = 0.42217016220092773, acc = 0.859375
Batch 63: loss = 0.35576051473617554, acc = 0.876953125
Batch 64: loss = 0.33056971430778503, acc = 0.875
Batch 65: loss = 0.3607105016708374, acc = 0.888671875
Batch 66: loss = 0.3515704870223999, acc = 0.884765625
Batch 67: loss = 0.37159138917922974, acc = 0.8740234375
Batch 68: loss = 0.3606191575527191, acc = 0.8896484375
Batch 69: loss = 0.33490830659866333, acc = 0.8896484375
Batch 70: loss = 0.41332781314849854, acc = 0.8505859375
Batch 71: loss = 0.39641261100769043, acc = 0.8642578125
Batch 72: loss = 0.33213678002357483, acc = 0.89453125
Batch 73: loss = 0.4285689890384674, acc = 0.85546875
Batch 74: loss = 0.4166223406791687, acc = 0.861328125
Batch 75: loss = 0.476642370223999, acc = 0.8408203125
Batch 76: loss = 0.42598944902420044, acc = 0.853515625
Batch 77: loss = 0.36911675333976746, acc = 0.87109375
Batch 78: loss = 0.37328648567199707, acc = 0.8701171875
Batch 79: loss = 0.337383508682251, acc = 0.884765625
Batch 80: loss = 0.34704095125198364, acc = 0.873046875
Batch 81: loss = 0.38415366411209106, acc = 0.8740234375
Batch 82: loss = 0.33367276191711426, acc = 0.8837890625
Batch 83: loss = 0.38300246000289917, acc = 0.8671875
Batch 84: loss = 0.3776441812515259, acc = 0.8720703125
Batch 85: loss = 0.40484941005706787, acc = 0.8583984375
Batch 86: loss = 0.36650925874710083, acc = 0.86328125
Batch 87: loss = 0.3870762586593628, acc = 0.8720703125
Batch 88: loss = 0.4273761808872223, acc = 0.861328125
Batch 89: loss = 0.34617897868156433, acc = 0.8896484375
Batch 90: loss = 0.3892611861228943, acc = 0.869140625
Batch 91: loss = 0.4132559299468994, acc = 0.8681640625
Batch 92: loss = 0.3908000588417053, acc = 0.87109375
Batch 93: loss = 0.3116076588630676, acc = 0.888671875
Batch 94: loss = 0.3433237671852112, acc = 0.89453125
Batch 95: loss = 0.3377411961555481, acc = 0.8876953125
Batch 96: loss = 0.40780770778656006, acc = 0.8544921875
Batch 97: loss = 0.378000944852829, acc = 0.873046875
Batch 98: loss = 0.37214165925979614, acc = 0.8740234375
Batch 99: loss = 0.40041136741638184, acc = 0.8623046875
Batch 100: loss = 0.40816450119018555, acc = 0.8525390625
Batch 101: loss = 0.37267839908599854, acc = 0.873046875
Batch 102: loss = 0.4038246273994446, acc = 0.8642578125
Batch 103: loss = 0.39795374870300293, acc = 0.87109375
Batch 104: loss = 0.3634951710700989, acc = 0.8740234375
Batch 105: loss = 0.35380229353904724, acc = 0.87109375
Batch 106: loss = 0.3559649884700775, acc = 0.8857421875
Batch 107: loss = 0.37078383564949036, acc = 0.8759765625
Batch 108: loss = 0.3897838890552521, acc = 0.8583984375
Batch 109: loss = 0.36718809604644775, acc = 0.87109375
Batch 110: loss = 0.35118934512138367, acc = 0.888671875
Batch 111: loss = 0.4043727517127991, acc = 0.8896484375
Batch 112: loss = 0.39506062865257263, acc = 0.8720703125
Batch 113: loss = 0.3670385479927063, acc = 0.8837890625
Batch 114: loss = 0.3822205364704132, acc = 0.8798828125
Batch 115: loss = 0.401140958070755, acc = 0.861328125
Batch 116: loss = 0.4337197542190552, acc = 0.845703125
Batch 117: loss = 0.3332999646663666, acc = 0.89453125
Batch 118: loss = 0.34994959831237793, acc = 0.88671875
Batch 119: loss = 0.37867942452430725, acc = 0.87890625
Batch 120: loss = 0.3434027433395386, acc = 0.8818359375
Batch 121: loss = 0.3586210310459137, acc = 0.8671875
Batch 122: loss = 0.37349939346313477, acc = 0.873046875
Batch 123: loss = 0.3635728359222412, acc = 0.8779296875
Batch 124: loss = 0.42449259757995605, acc = 0.8505859375
Batch 125: loss = 0.40474963188171387, acc = 0.8779296875
Batch 126: loss = 0.37138617038726807, acc = 0.8798828125

Epoch 62/100
Batch 1: loss = 0.4788934588432312, acc = 0.853515625
Batch 2: loss = 0.43372392654418945, acc = 0.8603515625
Batch 3: loss = 0.36204794049263, acc = 0.8779296875
Batch 4: loss = 0.3518894910812378, acc = 0.890625
Batch 5: loss = 0.41077572107315063, acc = 0.8681640625
Batch 6: loss = 0.42418327927589417, acc = 0.8583984375
Batch 7: loss = 0.34892183542251587, acc = 0.8876953125
Batch 8: loss = 0.34467485547065735, acc = 0.8828125
Batch 9: loss = 0.38022807240486145, acc = 0.8701171875
Batch 10: loss = 0.34893739223480225, acc = 0.8896484375
Batch 11: loss = 0.3975534439086914, acc = 0.8662109375
Batch 12: loss = 0.3676455020904541, acc = 0.8798828125
Batch 13: loss = 0.3967517018318176, acc = 0.86328125
Batch 14: loss = 0.36586207151412964, acc = 0.888671875
Batch 15: loss = 0.3727701008319855, acc = 0.8798828125
Batch 16: loss = 0.36073654890060425, acc = 0.87890625
Batch 17: loss = 0.4015442728996277, acc = 0.87109375
Batch 18: loss = 0.4196213185787201, acc = 0.8662109375
Batch 19: loss = 0.38511157035827637, acc = 0.87109375
Batch 20: loss = 0.40807652473449707, acc = 0.861328125
Batch 21: loss = 0.3670084476470947, acc = 0.8798828125
Batch 22: loss = 0.3777239918708801, acc = 0.8701171875
Batch 23: loss = 0.4221290051937103, acc = 0.8603515625
Batch 24: loss = 0.3535196781158447, acc = 0.8720703125
Batch 25: loss = 0.38895463943481445, acc = 0.8701171875
Batch 26: loss = 0.3131311535835266, acc = 0.90234375
Batch 27: loss = 0.4046858549118042, acc = 0.8701171875
Batch 28: loss = 0.3794712722301483, acc = 0.865234375
Batch 29: loss = 0.38068872690200806, acc = 0.865234375
Batch 30: loss = 0.33478695154190063, acc = 0.87890625
Batch 31: loss = 0.3686458170413971, acc = 0.8720703125
Batch 32: loss = 0.4117791950702667, acc = 0.841796875
Batch 33: loss = 0.36837583780288696, acc = 0.8818359375
Batch 34: loss = 0.40270328521728516, acc = 0.8662109375
Batch 35: loss = 0.38428688049316406, acc = 0.8671875
Batch 36: loss = 0.3272348940372467, acc = 0.890625
Batch 37: loss = 0.3357783854007721, acc = 0.8837890625
Batch 38: loss = 0.31623727083206177, acc = 0.900390625
Batch 39: loss = 0.30652105808258057, acc = 0.91015625
Batch 40: loss = 0.38297373056411743, acc = 0.8740234375
Batch 41: loss = 0.34149229526519775, acc = 0.892578125
Batch 42: loss = 0.3502212464809418, acc = 0.8857421875
Batch 43: loss = 0.3936035931110382, acc = 0.86328125
Batch 44: loss = 0.3336848020553589, acc = 0.8896484375
Batch 45: loss = 0.33238524198532104, acc = 0.8935546875
Batch 46: loss = 0.33346325159072876, acc = 0.880859375
Batch 47: loss = 0.3418886959552765, acc = 0.8798828125
Batch 48: loss = 0.3365917205810547, acc = 0.88671875
Batch 49: loss = 0.3143061697483063, acc = 0.9013671875
Batch 50: loss = 0.36731940507888794, acc = 0.8818359375
Batch 51: loss = 0.3410533368587494, acc = 0.880859375
Batch 52: loss = 0.394269734621048, acc = 0.876953125
Batch 53: loss = 0.3590283989906311, acc = 0.888671875
Batch 54: loss = 0.33050408959388733, acc = 0.892578125
Batch 55: loss = 0.3028965890407562, acc = 0.9033203125
Batch 56: loss = 0.36184921860694885, acc = 0.8701171875
Batch 57: loss = 0.44326677918434143, acc = 0.8408203125
Batch 58: loss = 0.4005807042121887, acc = 0.8603515625
Batch 59: loss = 0.3057573437690735, acc = 0.8857421875
Batch 60: loss = 0.3880227208137512, acc = 0.8642578125
Batch 61: loss = 0.3486039936542511, acc = 0.88671875
Batch 62: loss = 0.41334742307662964, acc = 0.8427734375
Batch 63: loss = 0.3301316499710083, acc = 0.8896484375
Batch 64: loss = 0.32641857862472534, acc = 0.896484375
Batch 65: loss = 0.35432514548301697, acc = 0.8896484375
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Batch 68: loss = 0.3461992144584656, acc = 0.8876953125
Batch 69: loss = 0.3492940664291382, acc = 0.8857421875
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Batch 71: loss = 0.3507789969444275, acc = 0.876953125
Batch 72: loss = 0.36113420128822327, acc = 0.876953125
Batch 73: loss = 0.41901183128356934, acc = 0.859375
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Batch 80: loss = 0.33234238624572754, acc = 0.8974609375
Batch 81: loss = 0.3670346140861511, acc = 0.875
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Batch 83: loss = 0.35303398966789246, acc = 0.8798828125
Batch 84: loss = 0.38591352105140686, acc = 0.8603515625
Batch 85: loss = 0.40646666288375854, acc = 0.8701171875
Batch 86: loss = 0.38521069288253784, acc = 0.884765625
Batch 87: loss = 0.34313979744911194, acc = 0.8876953125
Batch 88: loss = 0.4040822386741638, acc = 0.875
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Batch 93: loss = 0.3376171588897705, acc = 0.89453125
Batch 94: loss = 0.3537512719631195, acc = 0.8837890625
Batch 95: loss = 0.35066622495651245, acc = 0.892578125
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Batch 97: loss = 0.3888038694858551, acc = 0.875
Batch 98: loss = 0.3762809932231903, acc = 0.890625
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Batch 100: loss = 0.37802553176879883, acc = 0.86328125
Batch 101: loss = 0.36760711669921875, acc = 0.8857421875
Batch 102: loss = 0.4087197780609131, acc = 0.8583984375
Batch 103: loss = 0.37947559356689453, acc = 0.865234375
Batch 104: loss = 0.37953048944473267, acc = 0.8720703125
Batch 105: loss = 0.3356265425682068, acc = 0.888671875
Batch 106: loss = 0.33976784348487854, acc = 0.8857421875
Batch 107: loss = 0.3521287441253662, acc = 0.8798828125
Batch 108: loss = 0.3397321105003357, acc = 0.8896484375
Batch 109: loss = 0.3707098960876465, acc = 0.8798828125
Batch 110: loss = 0.35559019446372986, acc = 0.888671875
Batch 111: loss = 0.3921301066875458, acc = 0.8603515625
Batch 112: loss = 0.406469464302063, acc = 0.8662109375
Batch 113: loss = 0.37054574489593506, acc = 0.8720703125
Batch 114: loss = 0.3837844729423523, acc = 0.8759765625
Batch 115: loss = 0.3881409764289856, acc = 0.869140625
Batch 116: loss = 0.4005119204521179, acc = 0.8642578125
Batch 117: loss = 0.39028894901275635, acc = 0.869140625
Batch 118: loss = 0.3351975679397583, acc = 0.892578125
Batch 119: loss = 0.34997105598449707, acc = 0.88671875
Batch 120: loss = 0.3626611530780792, acc = 0.8779296875
Batch 121: loss = 0.38725709915161133, acc = 0.869140625
Batch 122: loss = 0.34172359108924866, acc = 0.88671875
Batch 123: loss = 0.3540331721305847, acc = 0.8798828125
Batch 124: loss = 0.39425021409988403, acc = 0.8525390625
Batch 125: loss = 0.4058437943458557, acc = 0.8583984375
Batch 126: loss = 0.36153244972229004, acc = 0.890625

Epoch 63/100
Batch 1: loss = 0.4629392623901367, acc = 0.849609375
Batch 2: loss = 0.40555354952812195, acc = 0.8583984375
Batch 3: loss = 0.3697780668735504, acc = 0.87890625
Batch 4: loss = 0.35565879940986633, acc = 0.8779296875
Batch 5: loss = 0.4123341143131256, acc = 0.8564453125
Batch 6: loss = 0.41226810216903687, acc = 0.8466796875
Batch 7: loss = 0.3648938834667206, acc = 0.8681640625
Batch 8: loss = 0.34511828422546387, acc = 0.8740234375
Batch 9: loss = 0.3417515456676483, acc = 0.8779296875
Batch 10: loss = 0.33934634923934937, acc = 0.888671875
Batch 11: loss = 0.3943077325820923, acc = 0.8525390625
Batch 12: loss = 0.3788623809814453, acc = 0.8720703125
Batch 13: loss = 0.3476529121398926, acc = 0.8720703125
Batch 14: loss = 0.3795238435268402, acc = 0.865234375
Batch 15: loss = 0.3613916039466858, acc = 0.876953125
Batch 16: loss = 0.3748995065689087, acc = 0.876953125
Batch 17: loss = 0.3775424361228943, acc = 0.8701171875
Batch 18: loss = 0.38236212730407715, acc = 0.8818359375
Batch 19: loss = 0.3517010807991028, acc = 0.88671875
Batch 20: loss = 0.3862754702568054, acc = 0.8642578125
Batch 21: loss = 0.40658536553382874, acc = 0.857421875
Batch 22: loss = 0.3708048462867737, acc = 0.8720703125
Batch 23: loss = 0.4284135699272156, acc = 0.8603515625
Batch 24: loss = 0.35266563296318054, acc = 0.8818359375
Batch 25: loss = 0.3667110800743103, acc = 0.8828125
Batch 26: loss = 0.3247220814228058, acc = 0.89453125
Batch 27: loss = 0.4280562400817871, acc = 0.8662109375
Batch 28: loss = 0.39500048756599426, acc = 0.87109375
Batch 29: loss = 0.42790430784225464, acc = 0.857421875
Batch 30: loss = 0.3458043932914734, acc = 0.892578125
Batch 31: loss = 0.37969422340393066, acc = 0.8779296875
Batch 32: loss = 0.41648435592651367, acc = 0.8681640625
Batch 33: loss = 0.33854201436042786, acc = 0.8798828125
Batch 34: loss = 0.3792310357093811, acc = 0.8720703125
Batch 35: loss = 0.3517990708351135, acc = 0.8779296875
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Batch 37: loss = 0.3274598717689514, acc = 0.8955078125
Batch 38: loss = 0.34981611371040344, acc = 0.8916015625
Batch 39: loss = 0.3296460807323456, acc = 0.8916015625
Batch 40: loss = 0.3808678984642029, acc = 0.87109375
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Batch 42: loss = 0.35364246368408203, acc = 0.8740234375
Batch 43: loss = 0.3899553418159485, acc = 0.8642578125
Batch 44: loss = 0.3346894383430481, acc = 0.8857421875
Batch 45: loss = 0.30087387561798096, acc = 0.9033203125
Batch 46: loss = 0.37328553199768066, acc = 0.87890625
Batch 47: loss = 0.3658847212791443, acc = 0.880859375
Batch 48: loss = 0.34072548151016235, acc = 0.88671875
Batch 49: loss = 0.3331165909767151, acc = 0.8955078125
Batch 50: loss = 0.35848960280418396, acc = 0.8798828125
Batch 51: loss = 0.35781168937683105, acc = 0.87890625
Batch 52: loss = 0.3772149085998535, acc = 0.87109375
Batch 53: loss = 0.3490382134914398, acc = 0.880859375
Batch 54: loss = 0.27685290575027466, acc = 0.90625
Batch 55: loss = 0.30670565366744995, acc = 0.8994140625
Batch 56: loss = 0.35522955656051636, acc = 0.880859375
Batch 57: loss = 0.40686964988708496, acc = 0.845703125
Batch 58: loss = 0.3648909330368042, acc = 0.8759765625
Batch 59: loss = 0.30179741978645325, acc = 0.9091796875
Batch 60: loss = 0.35995641350746155, acc = 0.8720703125
Batch 61: loss = 0.3284175992012024, acc = 0.896484375
Batch 62: loss = 0.4198386073112488, acc = 0.8583984375
Batch 63: loss = 0.32459506392478943, acc = 0.8876953125
Batch 64: loss = 0.29678404331207275, acc = 0.8994140625
Batch 65: loss = 0.356812059879303, acc = 0.8662109375
Batch 66: loss = 0.34858524799346924, acc = 0.8857421875
Batch 67: loss = 0.31781405210494995, acc = 0.88671875
Batch 68: loss = 0.3541538119316101, acc = 0.890625
Batch 69: loss = 0.33425235748291016, acc = 0.8876953125
Batch 70: loss = 0.3720879554748535, acc = 0.8798828125
Batch 71: loss = 0.37102100253105164, acc = 0.8779296875
Batch 72: loss = 0.33843421936035156, acc = 0.884765625
Batch 73: loss = 0.4029383957386017, acc = 0.87109375
Batch 74: loss = 0.40109604597091675, acc = 0.859375
Batch 75: loss = 0.4408259391784668, acc = 0.837890625
Batch 76: loss = 0.4013856053352356, acc = 0.859375
Batch 77: loss = 0.3309001624584198, acc = 0.880859375
Batch 78: loss = 0.3898453116416931, acc = 0.8720703125
Batch 79: loss = 0.33119961619377136, acc = 0.8837890625
Batch 80: loss = 0.3386250138282776, acc = 0.8779296875
Batch 81: loss = 0.379999577999115, acc = 0.8779296875
Batch 82: loss = 0.3677590489387512, acc = 0.8759765625
Batch 83: loss = 0.33921223878860474, acc = 0.8837890625
Batch 84: loss = 0.3762087821960449, acc = 0.8798828125
Batch 85: loss = 0.38425391912460327, acc = 0.865234375
Batch 86: loss = 0.36056143045425415, acc = 0.8876953125
Batch 87: loss = 0.3905084729194641, acc = 0.8642578125
Batch 88: loss = 0.4084281027317047, acc = 0.8681640625
Batch 89: loss = 0.3315499424934387, acc = 0.8935546875
Batch 90: loss = 0.39833229780197144, acc = 0.86328125
Batch 91: loss = 0.3859281539916992, acc = 0.8642578125
Batch 92: loss = 0.4102766215801239, acc = 0.861328125
Batch 93: loss = 0.328372061252594, acc = 0.8916015625
Batch 94: loss = 0.31525593996047974, acc = 0.8935546875
Batch 95: loss = 0.3461703062057495, acc = 0.8935546875
Batch 96: loss = 0.4170810580253601, acc = 0.8544921875
Batch 97: loss = 0.37839531898498535, acc = 0.873046875
Batch 98: loss = 0.3486437499523163, acc = 0.888671875
Batch 99: loss = 0.3807028532028198, acc = 0.8720703125
Batch 100: loss = 0.4185018539428711, acc = 0.861328125
Batch 101: loss = 0.3660587966442108, acc = 0.8681640625
Batch 102: loss = 0.41978079080581665, acc = 0.85546875
Batch 103: loss = 0.36317116022109985, acc = 0.873046875
Batch 104: loss = 0.34384769201278687, acc = 0.8798828125
Batch 105: loss = 0.3400150537490845, acc = 0.8779296875
Batch 106: loss = 0.36937016248703003, acc = 0.8828125
Batch 107: loss = 0.35940244793891907, acc = 0.87890625
Batch 108: loss = 0.35021471977233887, acc = 0.87890625
Batch 109: loss = 0.3654821515083313, acc = 0.8798828125
Batch 110: loss = 0.3383200168609619, acc = 0.8896484375
Batch 111: loss = 0.37994837760925293, acc = 0.8671875
Batch 112: loss = 0.38586515188217163, acc = 0.8681640625
Batch 113: loss = 0.3824831545352936, acc = 0.85546875
Batch 114: loss = 0.38727113604545593, acc = 0.87890625
Batch 115: loss = 0.3772856593132019, acc = 0.8759765625
Batch 116: loss = 0.3938062787055969, acc = 0.8740234375
Batch 117: loss = 0.3502827286720276, acc = 0.8876953125
Batch 118: loss = 0.31798726320266724, acc = 0.8974609375
Batch 119: loss = 0.3601626753807068, acc = 0.87890625
Batch 120: loss = 0.33348023891448975, acc = 0.8837890625
Batch 121: loss = 0.3352704644203186, acc = 0.8818359375
Batch 122: loss = 0.35900911688804626, acc = 0.876953125
Batch 123: loss = 0.30456018447875977, acc = 0.892578125
Batch 124: loss = 0.40057140588760376, acc = 0.8681640625
Batch 125: loss = 0.3876517117023468, acc = 0.8779296875
Batch 126: loss = 0.36075785756111145, acc = 0.8671875

Epoch 64/100
Batch 1: loss = 0.44462430477142334, acc = 0.8642578125
Batch 2: loss = 0.4287991523742676, acc = 0.8466796875
Batch 3: loss = 0.39522048830986023, acc = 0.869140625
Batch 4: loss = 0.332215279340744, acc = 0.890625
Batch 5: loss = 0.41160863637924194, acc = 0.8505859375
Batch 6: loss = 0.38241270184516907, acc = 0.8583984375
Batch 7: loss = 0.3520626127719879, acc = 0.888671875
Batch 8: loss = 0.3849329948425293, acc = 0.876953125
Batch 9: loss = 0.3830511271953583, acc = 0.88671875
Batch 10: loss = 0.34008345007896423, acc = 0.8798828125
Batch 11: loss = 0.3841419219970703, acc = 0.859375
Batch 12: loss = 0.36055126786231995, acc = 0.880859375
Batch 13: loss = 0.3397454619407654, acc = 0.884765625
Batch 14: loss = 0.34197163581848145, acc = 0.8935546875
Batch 15: loss = 0.3710590898990631, acc = 0.8740234375
Batch 16: loss = 0.3866739869117737, acc = 0.8603515625
Batch 17: loss = 0.372918039560318, acc = 0.875
Batch 18: loss = 0.3666248321533203, acc = 0.8759765625
Batch 19: loss = 0.3784448504447937, acc = 0.8740234375
Batch 20: loss = 0.3815564513206482, acc = 0.8701171875
Batch 21: loss = 0.3737797439098358, acc = 0.865234375
Batch 22: loss = 0.3432621955871582, acc = 0.8828125
Batch 23: loss = 0.402373731136322, acc = 0.86328125
Batch 24: loss = 0.36828160285949707, acc = 0.8740234375
Batch 25: loss = 0.33660033345222473, acc = 0.8876953125
Batch 26: loss = 0.3315078020095825, acc = 0.8916015625
Batch 27: loss = 0.3991647958755493, acc = 0.865234375
Batch 28: loss = 0.3904610574245453, acc = 0.875
Batch 29: loss = 0.3839645981788635, acc = 0.876953125
Batch 30: loss = 0.34026193618774414, acc = 0.884765625
Batch 31: loss = 0.37640196084976196, acc = 0.8671875
Batch 32: loss = 0.4053003191947937, acc = 0.8623046875
Batch 33: loss = 0.3595464825630188, acc = 0.8857421875
Batch 34: loss = 0.3766510486602783, acc = 0.87890625
Batch 35: loss = 0.338666170835495, acc = 0.875
Batch 36: loss = 0.3089956045150757, acc = 0.8935546875
Batch 37: loss = 0.3211418688297272, acc = 0.8916015625
Batch 38: loss = 0.3483782112598419, acc = 0.8857421875
Batch 39: loss = 0.34332168102264404, acc = 0.8828125
Batch 40: loss = 0.38029929995536804, acc = 0.880859375
Batch 41: loss = 0.3461398780345917, acc = 0.8857421875
Batch 42: loss = 0.33852052688598633, acc = 0.8896484375
Batch 43: loss = 0.3700252175331116, acc = 0.865234375
Batch 44: loss = 0.3222113847732544, acc = 0.8876953125
Batch 45: loss = 0.3366026282310486, acc = 0.896484375
Batch 46: loss = 0.3545127511024475, acc = 0.8720703125
Batch 47: loss = 0.3565702438354492, acc = 0.8798828125
Batch 48: loss = 0.3118729591369629, acc = 0.8896484375
Batch 49: loss = 0.3550012707710266, acc = 0.8828125
Batch 50: loss = 0.3492150902748108, acc = 0.8916015625
Batch 51: loss = 0.35653382539749146, acc = 0.86328125
Batch 52: loss = 0.35275086760520935, acc = 0.8779296875
Batch 53: loss = 0.3739977478981018, acc = 0.8876953125
Batch 54: loss = 0.2538503408432007, acc = 0.9169921875
Batch 55: loss = 0.30726346373558044, acc = 0.8974609375
Batch 56: loss = 0.34420961141586304, acc = 0.8798828125
Batch 57: loss = 0.3960322141647339, acc = 0.87109375
Batch 58: loss = 0.3620137572288513, acc = 0.87890625
Batch 59: loss = 0.28942641615867615, acc = 0.90625
Batch 60: loss = 0.33392301201820374, acc = 0.8837890625
Batch 61: loss = 0.3405159115791321, acc = 0.884765625
Batch 62: loss = 0.412436306476593, acc = 0.859375
Batch 63: loss = 0.32255488634109497, acc = 0.8857421875
Batch 64: loss = 0.30704784393310547, acc = 0.8837890625
Batch 65: loss = 0.34753283858299255, acc = 0.8876953125
Batch 66: loss = 0.35067489743232727, acc = 0.88671875
Batch 67: loss = 0.3228333592414856, acc = 0.890625
Batch 68: loss = 0.3357248902320862, acc = 0.8896484375
Batch 69: loss = 0.3223886489868164, acc = 0.89453125
Batch 70: loss = 0.38624143600463867, acc = 0.880859375
Batch 71: loss = 0.37319833040237427, acc = 0.875
Batch 72: loss = 0.35121700167655945, acc = 0.884765625
Batch 73: loss = 0.38660091161727905, acc = 0.8671875
Batch 74: loss = 0.39855003356933594, acc = 0.8603515625
Batch 75: loss = 0.41006243228912354, acc = 0.8603515625
Batch 76: loss = 0.3697495460510254, acc = 0.865234375
Batch 77: loss = 0.34303775429725647, acc = 0.8759765625
Batch 78: loss = 0.37744924426078796, acc = 0.8828125
Batch 79: loss = 0.32640528678894043, acc = 0.888671875
Batch 80: loss = 0.3483446538448334, acc = 0.880859375
Batch 81: loss = 0.3771020174026489, acc = 0.8701171875
Batch 82: loss = 0.32980459928512573, acc = 0.888671875
Batch 83: loss = 0.3321717083454132, acc = 0.88671875
Batch 84: loss = 0.3496791422367096, acc = 0.88671875
Batch 85: loss = 0.37593913078308105, acc = 0.8671875
Batch 86: loss = 0.3524274230003357, acc = 0.8896484375
Batch 87: loss = 0.3668596148490906, acc = 0.8681640625
Batch 88: loss = 0.431030809879303, acc = 0.8486328125
Batch 89: loss = 0.32342079281806946, acc = 0.892578125
Batch 90: loss = 0.35657888650894165, acc = 0.8759765625
Batch 91: loss = 0.37913674116134644, acc = 0.875
Batch 92: loss = 0.38660019636154175, acc = 0.8779296875
Batch 93: loss = 0.2939862012863159, acc = 0.900390625
Batch 94: loss = 0.3422209918498993, acc = 0.8837890625
Batch 95: loss = 0.33672308921813965, acc = 0.88671875
Batch 96: loss = 0.403344064950943, acc = 0.853515625
Batch 97: loss = 0.37364357709884644, acc = 0.8720703125
Batch 98: loss = 0.36062872409820557, acc = 0.86328125
Batch 99: loss = 0.36906057596206665, acc = 0.8720703125
Batch 100: loss = 0.3839787244796753, acc = 0.8623046875
Batch 101: loss = 0.38044843077659607, acc = 0.8681640625
Batch 102: loss = 0.3754134774208069, acc = 0.8671875
Batch 103: loss = 0.37747669219970703, acc = 0.8740234375
Batch 104: loss = 0.3363230228424072, acc = 0.888671875
Batch 105: loss = 0.3154013752937317, acc = 0.8955078125
Batch 106: loss = 0.3515509366989136, acc = 0.888671875
Batch 107: loss = 0.34476232528686523, acc = 0.8828125
Batch 108: loss = 0.36957859992980957, acc = 0.8759765625
Batch 109: loss = 0.37978991866111755, acc = 0.87109375
Batch 110: loss = 0.3098810911178589, acc = 0.8984375
Batch 111: loss = 0.38235995173454285, acc = 0.87890625
Batch 112: loss = 0.3497953414916992, acc = 0.876953125
Batch 113: loss = 0.35693827271461487, acc = 0.8740234375
Batch 114: loss = 0.3737025558948517, acc = 0.8818359375
Batch 115: loss = 0.3666241765022278, acc = 0.87109375
Batch 116: loss = 0.4071502983570099, acc = 0.857421875
Batch 117: loss = 0.37628373503685, acc = 0.8876953125
Batch 118: loss = 0.34049192070961, acc = 0.87890625
Batch 119: loss = 0.3197879493236542, acc = 0.8984375
Batch 120: loss = 0.33592694997787476, acc = 0.8896484375
Batch 121: loss = 0.3359449505805969, acc = 0.8896484375
Batch 122: loss = 0.3302658498287201, acc = 0.8896484375
Batch 123: loss = 0.34122443199157715, acc = 0.8759765625
Batch 124: loss = 0.37808021903038025, acc = 0.8701171875
Batch 125: loss = 0.3855419158935547, acc = 0.880859375
Batch 126: loss = 0.36070820689201355, acc = 0.8701171875

Epoch 65/100
Batch 1: loss = 0.4595015048980713, acc = 0.8623046875
Batch 2: loss = 0.431713342666626, acc = 0.8583984375
Batch 3: loss = 0.3829415440559387, acc = 0.875
Batch 4: loss = 0.3644251823425293, acc = 0.876953125
Batch 5: loss = 0.41404110193252563, acc = 0.8701171875
Batch 6: loss = 0.3669683337211609, acc = 0.8720703125
Batch 7: loss = 0.3458345830440521, acc = 0.8876953125
Batch 8: loss = 0.3564392626285553, acc = 0.8759765625
Batch 9: loss = 0.33035773038864136, acc = 0.880859375
Batch 10: loss = 0.3036750257015228, acc = 0.900390625
Batch 11: loss = 0.382842481136322, acc = 0.86328125
Batch 12: loss = 0.37091580033302307, acc = 0.875
Batch 13: loss = 0.3660106658935547, acc = 0.8681640625
Batch 14: loss = 0.38128548860549927, acc = 0.8798828125
Batch 15: loss = 0.3687104284763336, acc = 0.8828125
Batch 16: loss = 0.3915906846523285, acc = 0.8671875
Batch 17: loss = 0.34321582317352295, acc = 0.8837890625
Batch 18: loss = 0.3630918264389038, acc = 0.8916015625
Batch 19: loss = 0.31897324323654175, acc = 0.896484375
Batch 20: loss = 0.3801363408565521, acc = 0.8740234375
Batch 21: loss = 0.3468167781829834, acc = 0.880859375
Batch 22: loss = 0.3228938579559326, acc = 0.8876953125
Batch 23: loss = 0.35230809450149536, acc = 0.8740234375
Batch 24: loss = 0.34117114543914795, acc = 0.8798828125
Batch 25: loss = 0.370094895362854, acc = 0.873046875
Batch 26: loss = 0.3326919674873352, acc = 0.8759765625
Batch 27: loss = 0.38953375816345215, acc = 0.8740234375
Batch 28: loss = 0.4000714421272278, acc = 0.8583984375
Batch 29: loss = 0.41097766160964966, acc = 0.861328125
Batch 30: loss = 0.3503834903240204, acc = 0.890625
Batch 31: loss = 0.3864954113960266, acc = 0.8720703125
Batch 32: loss = 0.4013761281967163, acc = 0.8671875
Batch 33: loss = 0.3382906913757324, acc = 0.8857421875
Batch 34: loss = 0.378400981426239, acc = 0.8779296875
Batch 35: loss = 0.35618555545806885, acc = 0.88671875
Batch 36: loss = 0.312655508518219, acc = 0.89453125
Batch 37: loss = 0.3191976845264435, acc = 0.888671875
Batch 38: loss = 0.3362343907356262, acc = 0.8837890625
Batch 39: loss = 0.33591726422309875, acc = 0.89453125
Batch 40: loss = 0.3588155508041382, acc = 0.8818359375
Batch 41: loss = 0.33772987127304077, acc = 0.875
Batch 42: loss = 0.3202763497829437, acc = 0.8916015625
Batch 43: loss = 0.3816470801830292, acc = 0.8662109375
Batch 44: loss = 0.320529043674469, acc = 0.8916015625
Batch 45: loss = 0.3066665530204773, acc = 0.896484375
Batch 46: loss = 0.3480508029460907, acc = 0.8818359375
Batch 47: loss = 0.3313276767730713, acc = 0.9013671875
Batch 48: loss = 0.32656288146972656, acc = 0.8935546875
Batch 49: loss = 0.3255532383918762, acc = 0.8837890625
Batch 50: loss = 0.3241150379180908, acc = 0.8876953125
Batch 51: loss = 0.3243241012096405, acc = 0.8984375
Batch 52: loss = 0.36449211835861206, acc = 0.880859375
Batch 53: loss = 0.3276589512825012, acc = 0.900390625
Batch 54: loss = 0.3007095456123352, acc = 0.900390625
Batch 55: loss = 0.29063040018081665, acc = 0.9072265625
Batch 56: loss = 0.36344826221466064, acc = 0.8671875
Batch 57: loss = 0.40783852338790894, acc = 0.8603515625
Batch 58: loss = 0.3909243047237396, acc = 0.865234375
Batch 59: loss = 0.2767499089241028, acc = 0.9072265625
Batch 60: loss = 0.35610413551330566, acc = 0.8759765625
Batch 61: loss = 0.3162326216697693, acc = 0.880859375
Batch 62: loss = 0.40743836760520935, acc = 0.8544921875
Batch 63: loss = 0.3406258225440979, acc = 0.876953125
Batch 64: loss = 0.30053746700286865, acc = 0.888671875
Batch 65: loss = 0.3615194857120514, acc = 0.8837890625
Batch 66: loss = 0.34861287474632263, acc = 0.8837890625
Batch 67: loss = 0.34715577960014343, acc = 0.8896484375
Batch 68: loss = 0.35639113187789917, acc = 0.8818359375
Batch 69: loss = 0.3190340995788574, acc = 0.9052734375
Batch 70: loss = 0.3657189607620239, acc = 0.880859375
Batch 71: loss = 0.3945741653442383, acc = 0.87109375
Batch 72: loss = 0.33607661724090576, acc = 0.888671875
Batch 73: loss = 0.3643369674682617, acc = 0.8828125
Batch 74: loss = 0.4236747622489929, acc = 0.8525390625
Batch 75: loss = 0.39786213636398315, acc = 0.8623046875
Batch 76: loss = 0.36167091131210327, acc = 0.8740234375
Batch 77: loss = 0.3534063398838043, acc = 0.86328125
Batch 78: loss = 0.3674898147583008, acc = 0.8701171875
Batch 79: loss = 0.31444090604782104, acc = 0.900390625
Batch 80: loss = 0.32495224475860596, acc = 0.896484375
Batch 81: loss = 0.3576745390892029, acc = 0.8740234375
Batch 82: loss = 0.31838613748550415, acc = 0.8896484375
Batch 83: loss = 0.3223862648010254, acc = 0.890625
Batch 84: loss = 0.355457067489624, acc = 0.8740234375
Batch 85: loss = 0.38950830698013306, acc = 0.85546875
Batch 86: loss = 0.3539310693740845, acc = 0.8818359375
Batch 87: loss = 0.3530495762825012, acc = 0.87109375
Batch 88: loss = 0.3820158839225769, acc = 0.869140625
Batch 89: loss = 0.3349560499191284, acc = 0.888671875
Batch 90: loss = 0.3650396466255188, acc = 0.87109375
Batch 91: loss = 0.36144810914993286, acc = 0.8798828125
Batch 92: loss = 0.3831953704357147, acc = 0.8828125
Batch 93: loss = 0.32103297114372253, acc = 0.8955078125
Batch 94: loss = 0.32038378715515137, acc = 0.888671875
Batch 95: loss = 0.33912205696105957, acc = 0.8876953125
Batch 96: loss = 0.38387662172317505, acc = 0.8681640625
Batch 97: loss = 0.35375213623046875, acc = 0.8720703125
Batch 98: loss = 0.35561835765838623, acc = 0.8818359375
Batch 99: loss = 0.3739900588989258, acc = 0.87109375
Batch 100: loss = 0.37642771005630493, acc = 0.8681640625
Batch 101: loss = 0.38518357276916504, acc = 0.8515625
Batch 102: loss = 0.37216389179229736, acc = 0.8671875
Batch 103: loss = 0.3654727637767792, acc = 0.884765625
Batch 104: loss = 0.32071661949157715, acc = 0.8837890625
Batch 105: loss = 0.31692638993263245, acc = 0.8974609375
Batch 106: loss = 0.3177887797355652, acc = 0.884765625
Batch 107: loss = 0.3469972014427185, acc = 0.884765625
Batch 108: loss = 0.34632062911987305, acc = 0.884765625
Batch 109: loss = 0.334404855966568, acc = 0.8837890625
Batch 110: loss = 0.3147067129611969, acc = 0.8935546875
Batch 111: loss = 0.37036508321762085, acc = 0.876953125
Batch 112: loss = 0.3951565623283386, acc = 0.86328125
Batch 113: loss = 0.35711562633514404, acc = 0.8779296875
Batch 114: loss = 0.3748340308666229, acc = 0.87890625
Batch 115: loss = 0.3265067934989929, acc = 0.9033203125
Batch 116: loss = 0.3599051237106323, acc = 0.8837890625
Batch 117: loss = 0.3284609317779541, acc = 0.8916015625
Batch 118: loss = 0.29176628589630127, acc = 0.9013671875
Batch 119: loss = 0.3554209768772125, acc = 0.8779296875
Batch 120: loss = 0.3429151177406311, acc = 0.880859375
Batch 121: loss = 0.3446590304374695, acc = 0.88671875
Batch 122: loss = 0.341167688369751, acc = 0.8828125
Batch 123: loss = 0.3309069275856018, acc = 0.892578125
Batch 124: loss = 0.36884716153144836, acc = 0.875
Batch 125: loss = 0.3684866726398468, acc = 0.8720703125
Batch 126: loss = 0.3580622673034668, acc = 0.87890625

Epoch 66/100
Batch 1: loss = 0.4423075318336487, acc = 0.865234375
Batch 2: loss = 0.38531404733657837, acc = 0.861328125
Batch 3: loss = 0.3964999318122864, acc = 0.8828125
Batch 4: loss = 0.3459833860397339, acc = 0.8818359375
Batch 5: loss = 0.3721790909767151, acc = 0.8701171875
Batch 6: loss = 0.4080484211444855, acc = 0.8544921875
Batch 7: loss = 0.37307611107826233, acc = 0.8701171875
Batch 8: loss = 0.3313214182853699, acc = 0.8876953125
Batch 9: loss = 0.3557388186454773, acc = 0.880859375
Batch 10: loss = 0.30078059434890747, acc = 0.896484375
Batch 11: loss = 0.3390606641769409, acc = 0.880859375
Batch 12: loss = 0.3128410279750824, acc = 0.8984375
Batch 13: loss = 0.35090839862823486, acc = 0.8818359375
Batch 14: loss = 0.36665111780166626, acc = 0.89453125
Batch 15: loss = 0.30114421248435974, acc = 0.9052734375
Batch 16: loss = 0.34447306394577026, acc = 0.8798828125
Batch 17: loss = 0.34220656752586365, acc = 0.892578125
Batch 18: loss = 0.3987944722175598, acc = 0.8623046875
Batch 19: loss = 0.3605227768421173, acc = 0.8642578125
Batch 20: loss = 0.3932824730873108, acc = 0.8720703125
Batch 21: loss = 0.37378978729248047, acc = 0.8828125
Batch 22: loss = 0.33792468905448914, acc = 0.8779296875
Batch 23: loss = 0.35541898012161255, acc = 0.876953125
Batch 24: loss = 0.35993504524230957, acc = 0.87890625
Batch 25: loss = 0.35633939504623413, acc = 0.8857421875
Batch 26: loss = 0.33011743426322937, acc = 0.892578125
Batch 27: loss = 0.39148128032684326, acc = 0.8720703125
Batch 28: loss = 0.37392622232437134, acc = 0.875
Batch 29: loss = 0.38235825300216675, acc = 0.8798828125
Batch 30: loss = 0.34251219034194946, acc = 0.8916015625
Batch 31: loss = 0.3400702178478241, acc = 0.888671875
Batch 32: loss = 0.3713780641555786, acc = 0.8828125
Batch 33: loss = 0.29584431648254395, acc = 0.90234375
Batch 34: loss = 0.36213168501853943, acc = 0.88671875
Batch 35: loss = 0.3136839270591736, acc = 0.890625
Batch 36: loss = 0.30488166213035583, acc = 0.888671875
Batch 37: loss = 0.3179183304309845, acc = 0.8994140625
Batch 38: loss = 0.3263615667819977, acc = 0.9013671875
Batch 39: loss = 0.3179608881473541, acc = 0.890625
Batch 40: loss = 0.31744423508644104, acc = 0.890625
Batch 41: loss = 0.30605411529541016, acc = 0.89453125
Batch 42: loss = 0.3692973852157593, acc = 0.8828125
Batch 43: loss = 0.3365713953971863, acc = 0.8916015625
Batch 44: loss = 0.3248324394226074, acc = 0.8857421875
Batch 45: loss = 0.3140731453895569, acc = 0.8935546875
Batch 46: loss = 0.30895549058914185, acc = 0.8896484375
Batch 47: loss = 0.34605443477630615, acc = 0.884765625
Batch 48: loss = 0.3621809780597687, acc = 0.8681640625
Batch 49: loss = 0.2962700426578522, acc = 0.90625
Batch 50: loss = 0.29882848262786865, acc = 0.9013671875
Batch 51: loss = 0.34285056591033936, acc = 0.876953125
Batch 52: loss = 0.36566540598869324, acc = 0.8740234375
Batch 53: loss = 0.345104455947876, acc = 0.888671875
Batch 54: loss = 0.26917028427124023, acc = 0.904296875
Batch 55: loss = 0.3148750364780426, acc = 0.896484375
Batch 56: loss = 0.34199780225753784, acc = 0.8720703125
Batch 57: loss = 0.3663520812988281, acc = 0.8681640625
Batch 58: loss = 0.39601361751556396, acc = 0.8662109375
Batch 59: loss = 0.3144729733467102, acc = 0.9013671875
Batch 60: loss = 0.3402126431465149, acc = 0.8818359375
Batch 61: loss = 0.29413771629333496, acc = 0.904296875
Batch 62: loss = 0.4015921354293823, acc = 0.8671875
Batch 63: loss = 0.3238191306591034, acc = 0.8857421875
Batch 64: loss = 0.3220149278640747, acc = 0.8837890625
Batch 65: loss = 0.35607022047042847, acc = 0.8857421875
Batch 66: loss = 0.3342016339302063, acc = 0.8837890625
Batch 67: loss = 0.3343809247016907, acc = 0.8876953125
Batch 68: loss = 0.3039996922016144, acc = 0.89453125
Batch 69: loss = 0.28599563241004944, acc = 0.8984375
Batch 70: loss = 0.37478339672088623, acc = 0.86328125
Batch 71: loss = 0.362845778465271, acc = 0.8759765625
Batch 72: loss = 0.33891361951828003, acc = 0.890625
Batch 73: loss = 0.3958587646484375, acc = 0.8662109375
Batch 74: loss = 0.3850157856941223, acc = 0.859375
Batch 75: loss = 0.3876855969429016, acc = 0.876953125
Batch 76: loss = 0.39529603719711304, acc = 0.8681640625
Batch 77: loss = 0.3184853196144104, acc = 0.880859375
Batch 78: loss = 0.3608117401599884, acc = 0.880859375
Batch 79: loss = 0.35316628217697144, acc = 0.8759765625
Batch 80: loss = 0.33284831047058105, acc = 0.8876953125
Batch 81: loss = 0.36862117052078247, acc = 0.8681640625
Batch 82: loss = 0.336948037147522, acc = 0.888671875
Batch 83: loss = 0.3132422864437103, acc = 0.8994140625
Batch 84: loss = 0.36922726035118103, acc = 0.87109375
Batch 85: loss = 0.40050700306892395, acc = 0.8544921875
Batch 86: loss = 0.35459887981414795, acc = 0.884765625
Batch 87: loss = 0.370216965675354, acc = 0.8701171875
Batch 88: loss = 0.3722977638244629, acc = 0.875
Batch 89: loss = 0.3301507234573364, acc = 0.888671875
Batch 90: loss = 0.3496123254299164, acc = 0.880859375
Batch 91: loss = 0.4166239798069, acc = 0.8662109375
Batch 92: loss = 0.378322958946228, acc = 0.8701171875
Batch 93: loss = 0.29236525297164917, acc = 0.90625
Batch 94: loss = 0.3089941740036011, acc = 0.89453125
Batch 95: loss = 0.32454609870910645, acc = 0.8955078125
Batch 96: loss = 0.3978835344314575, acc = 0.865234375
Batch 97: loss = 0.34897318482398987, acc = 0.8798828125
Batch 98: loss = 0.36384832859039307, acc = 0.880859375
Batch 99: loss = 0.3555213510990143, acc = 0.8701171875
Batch 100: loss = 0.38158947229385376, acc = 0.869140625
Batch 101: loss = 0.34357738494873047, acc = 0.8818359375
Batch 102: loss = 0.3653608560562134, acc = 0.8740234375
Batch 103: loss = 0.367948979139328, acc = 0.8798828125
Batch 104: loss = 0.301871120929718, acc = 0.888671875
Batch 105: loss = 0.30785468220710754, acc = 0.892578125
Batch 106: loss = 0.3673658072948456, acc = 0.86328125
Batch 107: loss = 0.3284936547279358, acc = 0.890625
Batch 108: loss = 0.3536083400249481, acc = 0.8857421875
Batch 109: loss = 0.33431723713874817, acc = 0.88671875
Batch 110: loss = 0.333329439163208, acc = 0.8935546875
Batch 111: loss = 0.3683392405509949, acc = 0.873046875
Batch 112: loss = 0.3661879301071167, acc = 0.87890625
Batch 113: loss = 0.38378506898880005, acc = 0.8671875
Batch 114: loss = 0.37852412462234497, acc = 0.876953125
Batch 115: loss = 0.3627176284790039, acc = 0.8759765625
Batch 116: loss = 0.40739935636520386, acc = 0.8583984375
Batch 117: loss = 0.3360251486301422, acc = 0.87890625
Batch 118: loss = 0.362606406211853, acc = 0.884765625
Batch 119: loss = 0.33549755811691284, acc = 0.892578125
Batch 120: loss = 0.3179584741592407, acc = 0.890625
Batch 121: loss = 0.319144070148468, acc = 0.8876953125
Batch 122: loss = 0.344363808631897, acc = 0.8857421875
Batch 123: loss = 0.3171989917755127, acc = 0.8896484375
Batch 124: loss = 0.3666982054710388, acc = 0.8740234375
Batch 125: loss = 0.3607611358165741, acc = 0.87890625
Batch 126: loss = 0.36045849323272705, acc = 0.8681640625

Epoch 67/100
Batch 1: loss = 0.4446410834789276, acc = 0.8671875
Batch 2: loss = 0.38614189624786377, acc = 0.8642578125
Batch 3: loss = 0.34951356053352356, acc = 0.89453125
Batch 4: loss = 0.34132087230682373, acc = 0.892578125
Batch 5: loss = 0.3916691839694977, acc = 0.8642578125
Batch 6: loss = 0.3687800467014313, acc = 0.8720703125
Batch 7: loss = 0.3440791666507721, acc = 0.876953125
Batch 8: loss = 0.33533191680908203, acc = 0.8916015625
Batch 9: loss = 0.3577853739261627, acc = 0.888671875
Batch 10: loss = 0.30125951766967773, acc = 0.8955078125
Batch 11: loss = 0.3314689099788666, acc = 0.88671875
Batch 12: loss = 0.33509522676467896, acc = 0.8876953125
Batch 13: loss = 0.3158312439918518, acc = 0.892578125
Batch 14: loss = 0.35022205114364624, acc = 0.8798828125
Batch 15: loss = 0.35847705602645874, acc = 0.8818359375
Batch 16: loss = 0.34156981110572815, acc = 0.884765625
Batch 17: loss = 0.3799222707748413, acc = 0.8779296875
Batch 18: loss = 0.3925487995147705, acc = 0.8642578125
Batch 19: loss = 0.3152112066745758, acc = 0.900390625
Batch 20: loss = 0.3604919910430908, acc = 0.87890625
Batch 21: loss = 0.3606858551502228, acc = 0.876953125
Batch 22: loss = 0.33066654205322266, acc = 0.8828125
Batch 23: loss = 0.37314748764038086, acc = 0.8671875
Batch 24: loss = 0.3374953866004944, acc = 0.880859375
Batch 25: loss = 0.34009644389152527, acc = 0.890625
Batch 26: loss = 0.32266560196876526, acc = 0.884765625
Batch 27: loss = 0.3780704736709595, acc = 0.8701171875
Batch 28: loss = 0.3838375210762024, acc = 0.8662109375
Batch 29: loss = 0.3508516252040863, acc = 0.888671875
Batch 30: loss = 0.3450305461883545, acc = 0.8818359375
Batch 31: loss = 0.38464099168777466, acc = 0.86328125
Batch 32: loss = 0.36692965030670166, acc = 0.869140625
Batch 33: loss = 0.361025869846344, acc = 0.873046875
Batch 34: loss = 0.3823091983795166, acc = 0.875
Batch 35: loss = 0.35654664039611816, acc = 0.884765625
Batch 36: loss = 0.2917492985725403, acc = 0.8955078125
Batch 37: loss = 0.30310797691345215, acc = 0.8984375
Batch 38: loss = 0.31021037697792053, acc = 0.90234375
Batch 39: loss = 0.31799015402793884, acc = 0.8916015625
Batch 40: loss = 0.3498602509498596, acc = 0.8818359375
Batch 41: loss = 0.3583970367908478, acc = 0.876953125
Batch 42: loss = 0.3570680022239685, acc = 0.8828125
Batch 43: loss = 0.3513139486312866, acc = 0.8759765625
Batch 44: loss = 0.29542049765586853, acc = 0.90234375
Batch 45: loss = 0.3383640646934509, acc = 0.88671875
Batch 46: loss = 0.33752578496932983, acc = 0.8798828125
Batch 47: loss = 0.3569174110889435, acc = 0.8662109375
Batch 48: loss = 0.32455235719680786, acc = 0.8935546875
Batch 49: loss = 0.28908827900886536, acc = 0.9072265625
Batch 50: loss = 0.32697972655296326, acc = 0.8896484375
Batch 51: loss = 0.29756683111190796, acc = 0.9052734375
Batch 52: loss = 0.3567851781845093, acc = 0.875
Batch 53: loss = 0.3452024459838867, acc = 0.8857421875
Batch 54: loss = 0.27781519293785095, acc = 0.904296875
Batch 55: loss = 0.28400734066963196, acc = 0.90625
Batch 56: loss = 0.3523034453392029, acc = 0.8759765625
Batch 57: loss = 0.3884897232055664, acc = 0.865234375
Batch 58: loss = 0.34829241037368774, acc = 0.876953125
Batch 59: loss = 0.2929801642894745, acc = 0.9033203125
Batch 60: loss = 0.31808599829673767, acc = 0.888671875
Batch 61: loss = 0.31020355224609375, acc = 0.892578125
Batch 62: loss = 0.39284956455230713, acc = 0.8720703125
Batch 63: loss = 0.3205862045288086, acc = 0.8896484375
Batch 64: loss = 0.3034568727016449, acc = 0.8984375
Batch 65: loss = 0.32493269443511963, acc = 0.8876953125
Batch 66: loss = 0.3405446410179138, acc = 0.8916015625
Batch 67: loss = 0.32812511920928955, acc = 0.8896484375
Batch 68: loss = 0.33179402351379395, acc = 0.8828125
Batch 69: loss = 0.29925769567489624, acc = 0.904296875
Batch 70: loss = 0.38017213344573975, acc = 0.8740234375
Batch 71: loss = 0.3392534852027893, acc = 0.880859375
Batch 72: loss = 0.33605140447616577, acc = 0.8828125
Batch 73: loss = 0.34534746408462524, acc = 0.8779296875
Batch 74: loss = 0.36751890182495117, acc = 0.859375
Batch 75: loss = 0.3557160794734955, acc = 0.8779296875
Batch 76: loss = 0.3566747009754181, acc = 0.876953125
Batch 77: loss = 0.32858455181121826, acc = 0.8935546875
Batch 78: loss = 0.37461382150650024, acc = 0.8779296875
Batch 79: loss = 0.331914484500885, acc = 0.888671875
Batch 80: loss = 0.2756679058074951, acc = 0.9140625
Batch 81: loss = 0.3483377695083618, acc = 0.884765625
Batch 82: loss = 0.30739131569862366, acc = 0.8955078125
Batch 83: loss = 0.3221832513809204, acc = 0.88671875
Batch 84: loss = 0.35047149658203125, acc = 0.8837890625
Batch 85: loss = 0.34692487120628357, acc = 0.876953125
Batch 86: loss = 0.33542537689208984, acc = 0.8837890625
Batch 87: loss = 0.3543219268321991, acc = 0.8798828125
Batch 88: loss = 0.361809641122818, acc = 0.8828125
Batch 89: loss = 0.30072498321533203, acc = 0.8984375
Batch 90: loss = 0.3446512520313263, acc = 0.8828125
Batch 91: loss = 0.33684802055358887, acc = 0.8876953125
Batch 92: loss = 0.38034072518348694, acc = 0.8837890625
Batch 93: loss = 0.34043002128601074, acc = 0.884765625
Batch 94: loss = 0.28367549180984497, acc = 0.9052734375
Batch 95: loss = 0.31352847814559937, acc = 0.9013671875
Batch 96: loss = 0.3970685601234436, acc = 0.8583984375
Batch 97: loss = 0.3511699438095093, acc = 0.8818359375
Batch 98: loss = 0.35155344009399414, acc = 0.8798828125
Batch 99: loss = 0.3512726128101349, acc = 0.8857421875
Batch 100: loss = 0.36267438530921936, acc = 0.8740234375
Batch 101: loss = 0.33934080600738525, acc = 0.8818359375
Batch 102: loss = 0.35559988021850586, acc = 0.869140625
Batch 103: loss = 0.35268306732177734, acc = 0.8876953125
Batch 104: loss = 0.31791800260543823, acc = 0.88671875
Batch 105: loss = 0.3014777600765228, acc = 0.8994140625
Batch 106: loss = 0.33618634939193726, acc = 0.8798828125
Batch 107: loss = 0.3448803126811981, acc = 0.884765625
Batch 108: loss = 0.331498384475708, acc = 0.890625
Batch 109: loss = 0.3641589879989624, acc = 0.8818359375
Batch 110: loss = 0.3108062744140625, acc = 0.9091796875
Batch 111: loss = 0.3507728576660156, acc = 0.876953125
Batch 112: loss = 0.38222360610961914, acc = 0.869140625
Batch 113: loss = 0.3776816129684448, acc = 0.8818359375
Batch 114: loss = 0.3126177191734314, acc = 0.8916015625
Batch 115: loss = 0.33816054463386536, acc = 0.89453125
Batch 116: loss = 0.3535574674606323, acc = 0.8828125
Batch 117: loss = 0.3577042818069458, acc = 0.8759765625
Batch 118: loss = 0.30078125, acc = 0.900390625
Batch 119: loss = 0.3669453263282776, acc = 0.880859375
Batch 120: loss = 0.31272655725479126, acc = 0.896484375
Batch 121: loss = 0.3274608254432678, acc = 0.888671875
Batch 122: loss = 0.3313484191894531, acc = 0.8759765625
Batch 123: loss = 0.327126145362854, acc = 0.884765625
Batch 124: loss = 0.38296717405319214, acc = 0.8564453125
Batch 125: loss = 0.3652271628379822, acc = 0.873046875
Batch 126: loss = 0.3306906223297119, acc = 0.8876953125

Epoch 68/100
Batch 1: loss = 0.4745347201824188, acc = 0.875
Batch 2: loss = 0.3918759524822235, acc = 0.869140625
Batch 3: loss = 0.3217291831970215, acc = 0.8984375
Batch 4: loss = 0.3244091272354126, acc = 0.8916015625
Batch 5: loss = 0.39905136823654175, acc = 0.8681640625
Batch 6: loss = 0.3564535677433014, acc = 0.876953125
Batch 7: loss = 0.33239126205444336, acc = 0.884765625
Batch 8: loss = 0.31554585695266724, acc = 0.8984375
Batch 9: loss = 0.3488806188106537, acc = 0.8935546875
Batch 10: loss = 0.3032286763191223, acc = 0.8984375
Batch 11: loss = 0.3189297318458557, acc = 0.8955078125
Batch 12: loss = 0.34067288041114807, acc = 0.8798828125
Batch 13: loss = 0.3515394926071167, acc = 0.8876953125
Batch 14: loss = 0.34324443340301514, acc = 0.8876953125
Batch 15: loss = 0.3402426838874817, acc = 0.89453125
Batch 16: loss = 0.3304806351661682, acc = 0.890625
Batch 17: loss = 0.3600536584854126, acc = 0.8740234375
Batch 18: loss = 0.3777410387992859, acc = 0.8701171875
Batch 19: loss = 0.3348168730735779, acc = 0.892578125
Batch 20: loss = 0.35067781805992126, acc = 0.88671875
Batch 21: loss = 0.37585046887397766, acc = 0.8740234375
Batch 22: loss = 0.3568633794784546, acc = 0.87890625
Batch 23: loss = 0.3697226047515869, acc = 0.884765625
Batch 24: loss = 0.3498798906803131, acc = 0.8837890625
Batch 25: loss = 0.3302956521511078, acc = 0.87890625
Batch 26: loss = 0.34388232231140137, acc = 0.8779296875
Batch 27: loss = 0.3639340400695801, acc = 0.8818359375
Batch 28: loss = 0.3965916633605957, acc = 0.8662109375
Batch 29: loss = 0.3484625816345215, acc = 0.8779296875
Batch 30: loss = 0.34119510650634766, acc = 0.8916015625
Batch 31: loss = 0.32660847902297974, acc = 0.89453125
Batch 32: loss = 0.4009844660758972, acc = 0.861328125
Batch 33: loss = 0.33509600162506104, acc = 0.89453125
Batch 34: loss = 0.36387303471565247, acc = 0.8828125
Batch 35: loss = 0.32827502489089966, acc = 0.8876953125
Batch 36: loss = 0.28836971521377563, acc = 0.9091796875
Batch 37: loss = 0.282598078250885, acc = 0.908203125
Batch 38: loss = 0.34012144804000854, acc = 0.875
Batch 39: loss = 0.30531957745552063, acc = 0.890625
Batch 40: loss = 0.34692490100860596, acc = 0.8818359375
Batch 41: loss = 0.30815011262893677, acc = 0.8916015625
Batch 42: loss = 0.3033396601676941, acc = 0.9013671875
Batch 43: loss = 0.3523073196411133, acc = 0.8701171875
Batch 44: loss = 0.2875862121582031, acc = 0.91015625
Batch 45: loss = 0.30785542726516724, acc = 0.9013671875
Batch 46: loss = 0.3188210725784302, acc = 0.8896484375
Batch 47: loss = 0.32685989141464233, acc = 0.890625
Batch 48: loss = 0.33373093605041504, acc = 0.8837890625
Batch 49: loss = 0.3130366802215576, acc = 0.892578125
Batch 50: loss = 0.3141040802001953, acc = 0.89453125
Batch 51: loss = 0.33426976203918457, acc = 0.8837890625
Batch 52: loss = 0.3396815061569214, acc = 0.8828125
Batch 53: loss = 0.3431551158428192, acc = 0.896484375
Batch 54: loss = 0.2731116712093353, acc = 0.91015625
Batch 55: loss = 0.30885663628578186, acc = 0.89453125
Batch 56: loss = 0.35260578989982605, acc = 0.8740234375
Batch 57: loss = 0.3648392856121063, acc = 0.87890625
Batch 58: loss = 0.4072422981262207, acc = 0.8544921875
Batch 59: loss = 0.27418047189712524, acc = 0.916015625
Batch 60: loss = 0.3497753143310547, acc = 0.8837890625
Batch 61: loss = 0.2853505313396454, acc = 0.90625
Batch 62: loss = 0.4133097529411316, acc = 0.8603515625
Batch 63: loss = 0.30726101994514465, acc = 0.89453125
Batch 64: loss = 0.2999846339225769, acc = 0.9013671875
Batch 65: loss = 0.35836583375930786, acc = 0.8876953125
Batch 66: loss = 0.3014596402645111, acc = 0.900390625
Batch 67: loss = 0.3138490319252014, acc = 0.88671875
Batch 68: loss = 0.35454028844833374, acc = 0.884765625
Batch 69: loss = 0.29701054096221924, acc = 0.888671875
Batch 70: loss = 0.3770865797996521, acc = 0.8818359375
Batch 71: loss = 0.35971739888191223, acc = 0.87890625
Batch 72: loss = 0.3493548035621643, acc = 0.8857421875
Batch 73: loss = 0.33965063095092773, acc = 0.8837890625
Batch 74: loss = 0.37404531240463257, acc = 0.869140625
Batch 75: loss = 0.38860762119293213, acc = 0.875
Batch 76: loss = 0.38300928473472595, acc = 0.873046875
Batch 77: loss = 0.3133874535560608, acc = 0.89453125
Batch 78: loss = 0.3654438853263855, acc = 0.8759765625
Batch 79: loss = 0.3161573112010956, acc = 0.8896484375
Batch 80: loss = 0.34137094020843506, acc = 0.875
Batch 81: loss = 0.34883105754852295, acc = 0.8857421875
Batch 82: loss = 0.3230293095111847, acc = 0.8955078125
Batch 83: loss = 0.3103264272212982, acc = 0.888671875
Batch 84: loss = 0.3524267077445984, acc = 0.873046875
Batch 85: loss = 0.33575814962387085, acc = 0.87890625
Batch 86: loss = 0.33564332127571106, acc = 0.8837890625
Batch 87: loss = 0.3425266146659851, acc = 0.880859375
Batch 88: loss = 0.34640079736709595, acc = 0.88671875
Batch 89: loss = 0.31092900037765503, acc = 0.8896484375
Batch 90: loss = 0.32570385932922363, acc = 0.8916015625
Batch 91: loss = 0.392265260219574, acc = 0.87109375
Batch 92: loss = 0.373820960521698, acc = 0.876953125
Batch 93: loss = 0.268643856048584, acc = 0.9072265625
Batch 94: loss = 0.32987672090530396, acc = 0.8759765625
Batch 95: loss = 0.31353437900543213, acc = 0.9033203125
Batch 96: loss = 0.3791045844554901, acc = 0.8623046875
Batch 97: loss = 0.32995152473449707, acc = 0.8896484375
Batch 98: loss = 0.3296040892601013, acc = 0.8896484375
Batch 99: loss = 0.3243510127067566, acc = 0.8896484375
Batch 100: loss = 0.3534480631351471, acc = 0.8720703125
Batch 101: loss = 0.32808658480644226, acc = 0.892578125
Batch 102: loss = 0.36752817034721375, acc = 0.876953125
Batch 103: loss = 0.3612174987792969, acc = 0.8857421875
Batch 104: loss = 0.3064514398574829, acc = 0.896484375
Batch 105: loss = 0.3034577965736389, acc = 0.8896484375
Batch 106: loss = 0.3173190653324127, acc = 0.8974609375
Batch 107: loss = 0.3256808817386627, acc = 0.88671875
Batch 108: loss = 0.35030823945999146, acc = 0.8857421875
Batch 109: loss = 0.33743780851364136, acc = 0.87890625
Batch 110: loss = 0.32098904252052307, acc = 0.888671875
Batch 111: loss = 0.32140815258026123, acc = 0.8984375
Batch 112: loss = 0.31403815746307373, acc = 0.9013671875
Batch 113: loss = 0.32614004611968994, acc = 0.8896484375
Batch 114: loss = 0.3580729365348816, acc = 0.8876953125
Batch 115: loss = 0.3158532381057739, acc = 0.890625
Batch 116: loss = 0.33583998680114746, acc = 0.8818359375
Batch 117: loss = 0.34515947103500366, acc = 0.8896484375
Batch 118: loss = 0.30298280715942383, acc = 0.89453125
Batch 119: loss = 0.3277813792228699, acc = 0.892578125
Batch 120: loss = 0.32367610931396484, acc = 0.888671875
Batch 121: loss = 0.3012586534023285, acc = 0.8974609375
Batch 122: loss = 0.347791463136673, acc = 0.8857421875
Batch 123: loss = 0.3071509599685669, acc = 0.896484375
Batch 124: loss = 0.37556108832359314, acc = 0.8681640625
Batch 125: loss = 0.35673707723617554, acc = 0.8798828125
Batch 126: loss = 0.34641993045806885, acc = 0.8828125

Epoch 69/100
Batch 1: loss = 0.42583349347114563, acc = 0.873046875
Batch 2: loss = 0.35922518372535706, acc = 0.8701171875
Batch 3: loss = 0.3348952531814575, acc = 0.8876953125
Batch 4: loss = 0.3123399019241333, acc = 0.892578125
Batch 5: loss = 0.3412501811981201, acc = 0.89453125
Batch 6: loss = 0.3567100763320923, acc = 0.8837890625
Batch 7: loss = 0.31621411442756653, acc = 0.8974609375
Batch 8: loss = 0.34860676527023315, acc = 0.89453125
Batch 9: loss = 0.32478058338165283, acc = 0.8896484375
Batch 10: loss = 0.2841952443122864, acc = 0.90234375
Batch 11: loss = 0.34688395261764526, acc = 0.884765625
Batch 12: loss = 0.30711740255355835, acc = 0.8955078125
Batch 13: loss = 0.3321758508682251, acc = 0.884765625
Batch 14: loss = 0.3414241671562195, acc = 0.8857421875
Batch 15: loss = 0.3239653706550598, acc = 0.89453125
Batch 16: loss = 0.33777570724487305, acc = 0.880859375
Batch 17: loss = 0.34717434644699097, acc = 0.873046875
Batch 18: loss = 0.3617154359817505, acc = 0.87890625
Batch 19: loss = 0.34837806224823, acc = 0.8876953125
Batch 20: loss = 0.33768755197525024, acc = 0.8837890625
Batch 21: loss = 0.3348087966442108, acc = 0.8935546875
Batch 22: loss = 0.3286459743976593, acc = 0.8916015625
Batch 23: loss = 0.3789494037628174, acc = 0.87109375
Batch 24: loss = 0.3237106204032898, acc = 0.8896484375
Batch 25: loss = 0.321991503238678, acc = 0.8876953125
Batch 26: loss = 0.3295060396194458, acc = 0.8916015625
Batch 27: loss = 0.41693806648254395, acc = 0.853515625
Batch 28: loss = 0.37264561653137207, acc = 0.8720703125
Batch 29: loss = 0.35020196437835693, acc = 0.8759765625
Batch 30: loss = 0.3495076894760132, acc = 0.892578125
Batch 31: loss = 0.35910463333129883, acc = 0.8740234375
Batch 32: loss = 0.34936797618865967, acc = 0.875
Batch 33: loss = 0.29130515456199646, acc = 0.9013671875
Batch 34: loss = 0.3784637451171875, acc = 0.875
Batch 35: loss = 0.3424455523490906, acc = 0.892578125
Batch 36: loss = 0.3070758283138275, acc = 0.896484375
Batch 37: loss = 0.284270316362381, acc = 0.90625
Batch 38: loss = 0.32371291518211365, acc = 0.8974609375
Batch 39: loss = 0.28035756945610046, acc = 0.9091796875
Batch 40: loss = 0.34961941838264465, acc = 0.8798828125
Batch 41: loss = 0.28051042556762695, acc = 0.916015625
Batch 42: loss = 0.30315881967544556, acc = 0.8974609375
Batch 43: loss = 0.33503732085227966, acc = 0.8837890625
Batch 44: loss = 0.30874842405319214, acc = 0.888671875
Batch 45: loss = 0.30709409713745117, acc = 0.8955078125
Batch 46: loss = 0.29258081316947937, acc = 0.908203125
Batch 47: loss = 0.3218100070953369, acc = 0.9013671875
Batch 48: loss = 0.30551090836524963, acc = 0.896484375
Batch 49: loss = 0.30934470891952515, acc = 0.888671875
Batch 50: loss = 0.31420066952705383, acc = 0.90234375
Batch 51: loss = 0.3229201138019562, acc = 0.88671875
Batch 52: loss = 0.3430498242378235, acc = 0.8837890625
Batch 53: loss = 0.3473692536354065, acc = 0.8896484375
Batch 54: loss = 0.28718236088752747, acc = 0.8935546875
Batch 55: loss = 0.28307676315307617, acc = 0.9052734375
Batch 56: loss = 0.375733345746994, acc = 0.869140625
Batch 57: loss = 0.3849482834339142, acc = 0.865234375
Batch 58: loss = 0.3678872585296631, acc = 0.876953125
Batch 59: loss = 0.2473648339509964, acc = 0.9208984375
Batch 60: loss = 0.3336920738220215, acc = 0.8740234375
Batch 61: loss = 0.2990994453430176, acc = 0.9091796875
Batch 62: loss = 0.3557014763355255, acc = 0.8759765625
Batch 63: loss = 0.29459258913993835, acc = 0.896484375
Batch 64: loss = 0.29235410690307617, acc = 0.91015625
Batch 65: loss = 0.32376402616500854, acc = 0.892578125
Batch 66: loss = 0.2989351749420166, acc = 0.8974609375
Batch 67: loss = 0.3114747107028961, acc = 0.8857421875
Batch 68: loss = 0.2888742983341217, acc = 0.91015625
Batch 69: loss = 0.28462812304496765, acc = 0.9052734375
Batch 70: loss = 0.40549972653388977, acc = 0.8671875
Batch 71: loss = 0.3430282473564148, acc = 0.8935546875
Batch 72: loss = 0.3217567801475525, acc = 0.8857421875
Batch 73: loss = 0.3704984784126282, acc = 0.876953125
Batch 74: loss = 0.3293818235397339, acc = 0.8779296875
Batch 75: loss = 0.3822813928127289, acc = 0.869140625
Batch 76: loss = 0.39225518703460693, acc = 0.861328125
Batch 77: loss = 0.2932213544845581, acc = 0.884765625
Batch 78: loss = 0.35910317301750183, acc = 0.8798828125
Batch 79: loss = 0.3189570903778076, acc = 0.880859375
Batch 80: loss = 0.33794495463371277, acc = 0.8828125
Batch 81: loss = 0.35691553354263306, acc = 0.8818359375
Batch 82: loss = 0.32734107971191406, acc = 0.88671875
Batch 83: loss = 0.33514106273651123, acc = 0.8720703125
Batch 84: loss = 0.3315395414829254, acc = 0.8876953125
Batch 85: loss = 0.3736094832420349, acc = 0.8837890625
Batch 86: loss = 0.3510749042034149, acc = 0.8740234375
Batch 87: loss = 0.318061888217926, acc = 0.8955078125
Batch 88: loss = 0.36889728903770447, acc = 0.8720703125
Batch 89: loss = 0.2915574014186859, acc = 0.90625
Batch 90: loss = 0.33321714401245117, acc = 0.8857421875
Batch 91: loss = 0.344620943069458, acc = 0.87890625
Batch 92: loss = 0.35543346405029297, acc = 0.89453125
Batch 93: loss = 0.2864498198032379, acc = 0.900390625
Batch 94: loss = 0.2923640310764313, acc = 0.9052734375
Batch 95: loss = 0.3215283155441284, acc = 0.896484375
Batch 96: loss = 0.35109880566596985, acc = 0.888671875
Batch 97: loss = 0.36872008442878723, acc = 0.87109375
Batch 98: loss = 0.3299563229084015, acc = 0.8916015625
Batch 99: loss = 0.3292027413845062, acc = 0.8857421875
Batch 100: loss = 0.345869243144989, acc = 0.876953125
Batch 101: loss = 0.3405002951622009, acc = 0.8798828125
Batch 102: loss = 0.32429254055023193, acc = 0.87890625
Batch 103: loss = 0.33791208267211914, acc = 0.88671875
Batch 104: loss = 0.3020942211151123, acc = 0.89453125
Batch 105: loss = 0.2899167537689209, acc = 0.8984375
Batch 106: loss = 0.2887474000453949, acc = 0.9052734375
Batch 107: loss = 0.31616321206092834, acc = 0.890625
Batch 108: loss = 0.33267489075660706, acc = 0.8857421875
Batch 109: loss = 0.3187559247016907, acc = 0.896484375
Batch 110: loss = 0.3339870870113373, acc = 0.8955078125
Batch 111: loss = 0.37807902693748474, acc = 0.8740234375
Batch 112: loss = 0.3671211898326874, acc = 0.8701171875
Batch 113: loss = 0.32733386754989624, acc = 0.88671875
Batch 114: loss = 0.3495955467224121, acc = 0.884765625
Batch 115: loss = 0.34671199321746826, acc = 0.892578125
Batch 116: loss = 0.35459887981414795, acc = 0.8798828125
Batch 117: loss = 0.3241524398326874, acc = 0.8935546875
Batch 118: loss = 0.31986525654792786, acc = 0.892578125
Batch 119: loss = 0.31466734409332275, acc = 0.8984375
Batch 120: loss = 0.2947745621204376, acc = 0.892578125
Batch 121: loss = 0.32307910919189453, acc = 0.884765625
Batch 122: loss = 0.3575051426887512, acc = 0.873046875
Batch 123: loss = 0.3298757076263428, acc = 0.8896484375
Batch 124: loss = 0.36634761095046997, acc = 0.869140625
Batch 125: loss = 0.3776988983154297, acc = 0.869140625
Batch 126: loss = 0.347452312707901, acc = 0.892578125

Epoch 70/100
Batch 1: loss = 0.43436503410339355, acc = 0.87109375
Batch 2: loss = 0.36906105279922485, acc = 0.865234375
Batch 3: loss = 0.34760022163391113, acc = 0.89453125
Batch 4: loss = 0.3206617832183838, acc = 0.88671875
Batch 5: loss = 0.3271341919898987, acc = 0.88671875
Batch 6: loss = 0.3534092903137207, acc = 0.8701171875
Batch 7: loss = 0.325212299823761, acc = 0.88671875
Batch 8: loss = 0.2926901578903198, acc = 0.904296875
Batch 9: loss = 0.3456113338470459, acc = 0.8701171875
Batch 10: loss = 0.3005490303039551, acc = 0.8994140625
Batch 11: loss = 0.3442017436027527, acc = 0.8857421875
Batch 12: loss = 0.3454153835773468, acc = 0.875
Batch 13: loss = 0.3394396901130676, acc = 0.8896484375
Batch 14: loss = 0.317986398935318, acc = 0.8994140625
Batch 15: loss = 0.31192126870155334, acc = 0.888671875
Batch 16: loss = 0.31157541275024414, acc = 0.8984375
Batch 17: loss = 0.3426416516304016, acc = 0.8828125
Batch 18: loss = 0.3453381061553955, acc = 0.8857421875
Batch 19: loss = 0.32796233892440796, acc = 0.892578125
Batch 20: loss = 0.34946751594543457, acc = 0.8857421875
Batch 21: loss = 0.35988590121269226, acc = 0.8720703125
Batch 22: loss = 0.3132731020450592, acc = 0.8994140625
Batch 23: loss = 0.3523969054222107, acc = 0.8740234375
Batch 24: loss = 0.3252558708190918, acc = 0.8857421875
Batch 25: loss = 0.33800509572029114, acc = 0.8818359375
Batch 26: loss = 0.29516270756721497, acc = 0.904296875
Batch 27: loss = 0.37358856201171875, acc = 0.8701171875
Batch 28: loss = 0.3533306121826172, acc = 0.87890625
Batch 29: loss = 0.34730732440948486, acc = 0.8916015625
Batch 30: loss = 0.32278868556022644, acc = 0.892578125
Batch 31: loss = 0.35276180505752563, acc = 0.8828125
Batch 32: loss = 0.3609045147895813, acc = 0.8857421875
Batch 33: loss = 0.3108665943145752, acc = 0.8984375
Batch 34: loss = 0.31973475217819214, acc = 0.8984375
Batch 35: loss = 0.3134821653366089, acc = 0.89453125
Batch 36: loss = 0.2845693826675415, acc = 0.9052734375
Batch 37: loss = 0.24637183547019958, acc = 0.9228515625
Batch 38: loss = 0.3106045722961426, acc = 0.8935546875
Batch 39: loss = 0.2902221083641052, acc = 0.90625
Batch 40: loss = 0.344575971364975, acc = 0.8896484375
Batch 41: loss = 0.3015342652797699, acc = 0.8955078125
Batch 42: loss = 0.3131125569343567, acc = 0.8984375
Batch 43: loss = 0.3232117295265198, acc = 0.888671875
Batch 44: loss = 0.2871711254119873, acc = 0.90625
Batch 45: loss = 0.2931498885154724, acc = 0.9052734375
Batch 46: loss = 0.3005450367927551, acc = 0.9072265625
Batch 47: loss = 0.3049820065498352, acc = 0.9052734375
Batch 48: loss = 0.31392550468444824, acc = 0.8876953125
Batch 49: loss = 0.29727721214294434, acc = 0.8955078125
Batch 50: loss = 0.28234511613845825, acc = 0.9033203125
Batch 51: loss = 0.3204943537712097, acc = 0.884765625
Batch 52: loss = 0.3580586910247803, acc = 0.8759765625
Batch 53: loss = 0.35597965121269226, acc = 0.8818359375
Batch 54: loss = 0.2789142429828644, acc = 0.908203125
Batch 55: loss = 0.2894212007522583, acc = 0.8984375
Batch 56: loss = 0.2993634045124054, acc = 0.8955078125
Batch 57: loss = 0.3597971200942993, acc = 0.873046875
Batch 58: loss = 0.3536747694015503, acc = 0.8720703125
Batch 59: loss = 0.2595880627632141, acc = 0.91796875
Batch 60: loss = 0.3296172022819519, acc = 0.884765625
Batch 61: loss = 0.30163508653640747, acc = 0.90625
Batch 62: loss = 0.36397793889045715, acc = 0.8759765625
Batch 63: loss = 0.31231799721717834, acc = 0.896484375
Batch 64: loss = 0.28309154510498047, acc = 0.8984375
Batch 65: loss = 0.30663055181503296, acc = 0.8994140625
Batch 66: loss = 0.3119451701641083, acc = 0.89453125
Batch 67: loss = 0.283650279045105, acc = 0.8955078125
Batch 68: loss = 0.3301701545715332, acc = 0.896484375
Batch 69: loss = 0.2967265248298645, acc = 0.908203125
Batch 70: loss = 0.3380661606788635, acc = 0.88671875
Batch 71: loss = 0.3415329158306122, acc = 0.8857421875
Batch 72: loss = 0.3187597692012787, acc = 0.890625
Batch 73: loss = 0.3492092490196228, acc = 0.884765625
Batch 74: loss = 0.3601182699203491, acc = 0.876953125
Batch 75: loss = 0.4094066023826599, acc = 0.8623046875
Batch 76: loss = 0.38155922293663025, acc = 0.87890625
Batch 77: loss = 0.3499695062637329, acc = 0.8857421875
Batch 78: loss = 0.3425046503543854, acc = 0.8779296875
Batch 79: loss = 0.30642154812812805, acc = 0.90625
Batch 80: loss = 0.32329580187797546, acc = 0.8876953125
Batch 81: loss = 0.34187138080596924, acc = 0.8798828125
Batch 82: loss = 0.31608322262763977, acc = 0.9033203125
Batch 83: loss = 0.3457005023956299, acc = 0.8720703125
Batch 84: loss = 0.33964574337005615, acc = 0.8828125
Batch 85: loss = 0.36951035261154175, acc = 0.8837890625
Batch 86: loss = 0.3280462622642517, acc = 0.8837890625
Batch 87: loss = 0.3295632302761078, acc = 0.890625
Batch 88: loss = 0.3812676668167114, acc = 0.865234375
Batch 89: loss = 0.2822936773300171, acc = 0.9150390625
Batch 90: loss = 0.32800155878067017, acc = 0.8896484375
Batch 91: loss = 0.3358459174633026, acc = 0.8759765625
Batch 92: loss = 0.3503289222717285, acc = 0.888671875
Batch 93: loss = 0.303994745016098, acc = 0.9013671875
Batch 94: loss = 0.310496985912323, acc = 0.896484375
Batch 95: loss = 0.30986452102661133, acc = 0.8984375
Batch 96: loss = 0.33944791555404663, acc = 0.876953125
Batch 97: loss = 0.31791985034942627, acc = 0.9033203125
Batch 98: loss = 0.3146815299987793, acc = 0.900390625
Batch 99: loss = 0.3128472566604614, acc = 0.90234375
Batch 100: loss = 0.3694003224372864, acc = 0.8671875
Batch 101: loss = 0.3164246082305908, acc = 0.8828125
Batch 102: loss = 0.3448137640953064, acc = 0.8779296875
Batch 103: loss = 0.3068862557411194, acc = 0.896484375
Batch 104: loss = 0.2882491946220398, acc = 0.8984375
Batch 105: loss = 0.2923851013183594, acc = 0.90234375
Batch 106: loss = 0.32408076524734497, acc = 0.8974609375
Batch 107: loss = 0.32538726925849915, acc = 0.888671875
Batch 108: loss = 0.3219679892063141, acc = 0.888671875
Batch 109: loss = 0.30061930418014526, acc = 0.8876953125
Batch 110: loss = 0.30447956919670105, acc = 0.8984375
Batch 111: loss = 0.35393059253692627, acc = 0.87890625
Batch 112: loss = 0.3390001058578491, acc = 0.8837890625
Batch 113: loss = 0.3842979073524475, acc = 0.8662109375
Batch 114: loss = 0.33453068137168884, acc = 0.892578125
Batch 115: loss = 0.33635005354881287, acc = 0.8759765625
Batch 116: loss = 0.3548240065574646, acc = 0.880859375
Batch 117: loss = 0.2980702519416809, acc = 0.908203125
Batch 118: loss = 0.3150138854980469, acc = 0.89453125
Batch 119: loss = 0.29085931181907654, acc = 0.91015625
Batch 120: loss = 0.3192679286003113, acc = 0.888671875
Batch 121: loss = 0.3214207887649536, acc = 0.8857421875
Batch 122: loss = 0.31031033396720886, acc = 0.8974609375
Batch 123: loss = 0.3202720284461975, acc = 0.888671875
Batch 124: loss = 0.34196507930755615, acc = 0.8876953125
Batch 125: loss = 0.36847513914108276, acc = 0.888671875
Batch 126: loss = 0.34511542320251465, acc = 0.8798828125
Saved checkpoint to weights.70.h5

Epoch 71/100
Batch 1: loss = 0.41990891098976135, acc = 0.8603515625
Batch 2: loss = 0.34658247232437134, acc = 0.888671875
Batch 3: loss = 0.35167449712753296, acc = 0.89453125
Batch 4: loss = 0.31361109018325806, acc = 0.89453125
Batch 5: loss = 0.3418683409690857, acc = 0.8857421875
Batch 6: loss = 0.3414525091648102, acc = 0.8935546875
Batch 7: loss = 0.29787516593933105, acc = 0.900390625
Batch 8: loss = 0.3447790741920471, acc = 0.8896484375
Batch 9: loss = 0.3181782066822052, acc = 0.8984375
Batch 10: loss = 0.29247015714645386, acc = 0.908203125
Batch 11: loss = 0.31229716539382935, acc = 0.8935546875
Batch 12: loss = 0.3154458999633789, acc = 0.8974609375
Batch 13: loss = 0.3240993022918701, acc = 0.8896484375
Batch 14: loss = 0.34626927971839905, acc = 0.8818359375
Batch 15: loss = 0.3106367886066437, acc = 0.8994140625
Batch 16: loss = 0.3306935429573059, acc = 0.880859375
Batch 17: loss = 0.336637020111084, acc = 0.890625
Batch 18: loss = 0.3613932728767395, acc = 0.88671875
Batch 19: loss = 0.3285030722618103, acc = 0.8955078125
Batch 20: loss = 0.32807761430740356, acc = 0.8935546875
Batch 21: loss = 0.3499845862388611, acc = 0.8876953125
Batch 22: loss = 0.296554833650589, acc = 0.900390625
Batch 23: loss = 0.36607855558395386, acc = 0.87890625
Batch 24: loss = 0.344028115272522, acc = 0.8798828125
Batch 25: loss = 0.3404958248138428, acc = 0.8876953125
Batch 26: loss = 0.3316444754600525, acc = 0.8837890625
Batch 27: loss = 0.36417698860168457, acc = 0.873046875
Batch 28: loss = 0.3706234097480774, acc = 0.8720703125
Batch 29: loss = 0.3415246903896332, acc = 0.884765625
Batch 30: loss = 0.31771451234817505, acc = 0.88671875
Batch 31: loss = 0.3453257381916046, acc = 0.876953125
Batch 32: loss = 0.3924911916255951, acc = 0.869140625
Batch 33: loss = 0.31421270966529846, acc = 0.892578125
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Batch 36: loss = 0.2845005691051483, acc = 0.908203125
Batch 37: loss = 0.2621862292289734, acc = 0.9130859375
Batch 38: loss = 0.2942520081996918, acc = 0.9013671875
Batch 39: loss = 0.30702194571495056, acc = 0.8935546875
Batch 40: loss = 0.318246066570282, acc = 0.8984375
Batch 41: loss = 0.301504909992218, acc = 0.8955078125
Batch 42: loss = 0.31156623363494873, acc = 0.8935546875
Batch 43: loss = 0.32135993242263794, acc = 0.890625
Batch 44: loss = 0.31563037633895874, acc = 0.8916015625
Batch 45: loss = 0.28360655903816223, acc = 0.8955078125
Batch 46: loss = 0.28842511773109436, acc = 0.90625
Batch 47: loss = 0.30449575185775757, acc = 0.892578125
Batch 48: loss = 0.30082401633262634, acc = 0.8994140625
Batch 49: loss = 0.2820328176021576, acc = 0.900390625
Batch 50: loss = 0.2727374732494354, acc = 0.9033203125
Batch 51: loss = 0.2849675416946411, acc = 0.9013671875
Batch 52: loss = 0.3270764946937561, acc = 0.880859375
Batch 53: loss = 0.3202831745147705, acc = 0.8994140625
Batch 54: loss = 0.2696688175201416, acc = 0.9150390625
Batch 55: loss = 0.27031588554382324, acc = 0.9130859375
Batch 56: loss = 0.31267306208610535, acc = 0.890625
Batch 57: loss = 0.3770103454589844, acc = 0.8779296875
Batch 58: loss = 0.3622113764286041, acc = 0.869140625
Batch 59: loss = 0.28657424449920654, acc = 0.900390625
Batch 60: loss = 0.3055344820022583, acc = 0.892578125
Batch 61: loss = 0.3196502923965454, acc = 0.8955078125
Batch 62: loss = 0.36391347646713257, acc = 0.8759765625
Batch 63: loss = 0.29508647322654724, acc = 0.8955078125
Batch 64: loss = 0.29398417472839355, acc = 0.8955078125
Batch 65: loss = 0.32071712613105774, acc = 0.896484375
Batch 66: loss = 0.29486745595932007, acc = 0.912109375
Batch 67: loss = 0.30649012327194214, acc = 0.8779296875
Batch 68: loss = 0.3089183270931244, acc = 0.8798828125
Batch 69: loss = 0.317042738199234, acc = 0.8955078125
Batch 70: loss = 0.37255436182022095, acc = 0.8779296875
Batch 71: loss = 0.3188086152076721, acc = 0.88671875
Batch 72: loss = 0.2971377372741699, acc = 0.904296875
Batch 73: loss = 0.3528625965118408, acc = 0.88671875
Batch 74: loss = 0.38152197003364563, acc = 0.8720703125
Batch 75: loss = 0.37973007559776306, acc = 0.8779296875
Batch 76: loss = 0.34521591663360596, acc = 0.8916015625
Batch 77: loss = 0.3121156692504883, acc = 0.89453125
Batch 78: loss = 0.33096152544021606, acc = 0.89453125
Batch 79: loss = 0.3579762279987335, acc = 0.8759765625
Batch 80: loss = 0.33750778436660767, acc = 0.8828125
Batch 81: loss = 0.37537670135498047, acc = 0.8701171875
Batch 82: loss = 0.3272985816001892, acc = 0.8984375
Batch 83: loss = 0.3166707754135132, acc = 0.8798828125
Batch 84: loss = 0.32296115159988403, acc = 0.888671875
Batch 85: loss = 0.35886621475219727, acc = 0.8798828125
Batch 86: loss = 0.31760984659194946, acc = 0.8896484375
Batch 87: loss = 0.35365718603134155, acc = 0.875
Batch 88: loss = 0.37413662672042847, acc = 0.876953125
Batch 89: loss = 0.29202479124069214, acc = 0.90625
Batch 90: loss = 0.32028743624687195, acc = 0.8896484375
Batch 91: loss = 0.35173189640045166, acc = 0.873046875
Batch 92: loss = 0.36040109395980835, acc = 0.8837890625
Batch 93: loss = 0.30681663751602173, acc = 0.9091796875
Batch 94: loss = 0.2804586887359619, acc = 0.9052734375
Batch 95: loss = 0.29208454489707947, acc = 0.8994140625
Batch 96: loss = 0.36595460772514343, acc = 0.8671875
Batch 97: loss = 0.347919225692749, acc = 0.875
Batch 98: loss = 0.3302680253982544, acc = 0.8974609375
Batch 99: loss = 0.3441804051399231, acc = 0.8857421875
Batch 100: loss = 0.34046119451522827, acc = 0.8837890625
Batch 101: loss = 0.3198773264884949, acc = 0.884765625
Batch 102: loss = 0.348141610622406, acc = 0.8759765625
Batch 103: loss = 0.30878376960754395, acc = 0.9013671875
Batch 104: loss = 0.302706778049469, acc = 0.8955078125
Batch 105: loss = 0.2953626215457916, acc = 0.8994140625
Batch 106: loss = 0.30332210659980774, acc = 0.8955078125
Batch 107: loss = 0.32552284002304077, acc = 0.8876953125
Batch 108: loss = 0.30098074674606323, acc = 0.9033203125
Batch 109: loss = 0.3241191506385803, acc = 0.888671875
Batch 110: loss = 0.29647231101989746, acc = 0.90625
Batch 111: loss = 0.3338685631752014, acc = 0.8916015625
Batch 112: loss = 0.3574867248535156, acc = 0.8779296875
Batch 113: loss = 0.3314676880836487, acc = 0.880859375
Batch 114: loss = 0.3651603162288666, acc = 0.884765625
Batch 115: loss = 0.3202444911003113, acc = 0.8916015625
Batch 116: loss = 0.3647402822971344, acc = 0.876953125
Batch 117: loss = 0.3402053117752075, acc = 0.8798828125
Batch 118: loss = 0.32676124572753906, acc = 0.8955078125
Batch 119: loss = 0.3104912340641022, acc = 0.896484375
Batch 120: loss = 0.3173975944519043, acc = 0.8857421875
Batch 121: loss = 0.32217589020729065, acc = 0.89453125
Batch 122: loss = 0.2898558974266052, acc = 0.90234375
Batch 123: loss = 0.32536667585372925, acc = 0.89453125
Batch 124: loss = 0.3332449793815613, acc = 0.890625
Batch 125: loss = 0.3409305810928345, acc = 0.890625
Batch 126: loss = 0.3379506468772888, acc = 0.8798828125

Epoch 72/100
Batch 1: loss = 0.4220656156539917, acc = 0.869140625
Batch 2: loss = 0.35510608553886414, acc = 0.876953125
Batch 3: loss = 0.3147968351840973, acc = 0.8896484375
Batch 4: loss = 0.33397501707077026, acc = 0.90234375
Batch 5: loss = 0.3517470955848694, acc = 0.8779296875
Batch 6: loss = 0.3489692807197571, acc = 0.8916015625
Batch 7: loss = 0.3373072147369385, acc = 0.884765625
Batch 8: loss = 0.3565010726451874, acc = 0.87890625
Batch 9: loss = 0.3501516580581665, acc = 0.87890625
Batch 10: loss = 0.2957947254180908, acc = 0.9033203125
Batch 11: loss = 0.31601449847221375, acc = 0.892578125
Batch 12: loss = 0.33067429065704346, acc = 0.8857421875
Batch 13: loss = 0.3215460777282715, acc = 0.90234375
Batch 14: loss = 0.34066206216812134, acc = 0.896484375
Batch 15: loss = 0.31676235795021057, acc = 0.88671875
Batch 16: loss = 0.3290714621543884, acc = 0.8916015625
Batch 17: loss = 0.3301209807395935, acc = 0.8916015625
Batch 18: loss = 0.32974952459335327, acc = 0.8974609375
Batch 19: loss = 0.3132844567298889, acc = 0.8994140625
Batch 20: loss = 0.32008105516433716, acc = 0.892578125
Batch 21: loss = 0.3115670680999756, acc = 0.900390625
Batch 22: loss = 0.3086722195148468, acc = 0.884765625
Batch 23: loss = 0.37445107102394104, acc = 0.8798828125
Batch 24: loss = 0.29764580726623535, acc = 0.90625
Batch 25: loss = 0.2987908124923706, acc = 0.8994140625
Batch 26: loss = 0.31657713651657104, acc = 0.890625
Batch 27: loss = 0.3333064913749695, acc = 0.8916015625
Batch 28: loss = 0.3629429340362549, acc = 0.8857421875
Batch 29: loss = 0.37863782048225403, acc = 0.8623046875
Batch 30: loss = 0.3231622576713562, acc = 0.888671875
Batch 31: loss = 0.32554739713668823, acc = 0.880859375
Batch 32: loss = 0.3570834994316101, acc = 0.880859375
Batch 33: loss = 0.2954496741294861, acc = 0.90234375
Batch 34: loss = 0.3409813940525055, acc = 0.880859375
Batch 35: loss = 0.3531029224395752, acc = 0.880859375
Batch 36: loss = 0.2719811499118805, acc = 0.90625
Batch 37: loss = 0.2856481671333313, acc = 0.9091796875
Batch 38: loss = 0.30446767807006836, acc = 0.9033203125
Batch 39: loss = 0.28922414779663086, acc = 0.9052734375
Batch 40: loss = 0.3400406837463379, acc = 0.892578125
Batch 41: loss = 0.299483060836792, acc = 0.89453125
Batch 42: loss = 0.31285029649734497, acc = 0.8876953125
Batch 43: loss = 0.3394705057144165, acc = 0.890625
Batch 44: loss = 0.3163369297981262, acc = 0.8955078125
Batch 45: loss = 0.28555557131767273, acc = 0.9033203125
Batch 46: loss = 0.3033950626850128, acc = 0.8994140625
Batch 47: loss = 0.30181747674942017, acc = 0.8994140625
Batch 48: loss = 0.30250683426856995, acc = 0.8984375
Batch 49: loss = 0.27318161725997925, acc = 0.908203125
Batch 50: loss = 0.31312769651412964, acc = 0.900390625
Batch 51: loss = 0.3249736428260803, acc = 0.8798828125
Batch 52: loss = 0.31700462102890015, acc = 0.8935546875
Batch 53: loss = 0.3156420588493347, acc = 0.8984375
Batch 54: loss = 0.27633899450302124, acc = 0.908203125
Batch 55: loss = 0.26929324865341187, acc = 0.9130859375
Batch 56: loss = 0.35164591670036316, acc = 0.8662109375
Batch 57: loss = 0.3426125645637512, acc = 0.873046875
Batch 58: loss = 0.3370838761329651, acc = 0.89453125
Batch 59: loss = 0.2718072533607483, acc = 0.9052734375
Batch 60: loss = 0.33040526509284973, acc = 0.8876953125
Batch 61: loss = 0.2979409694671631, acc = 0.8994140625
Batch 62: loss = 0.3296269178390503, acc = 0.8876953125
Batch 63: loss = 0.31139928102493286, acc = 0.8896484375
Batch 64: loss = 0.29377686977386475, acc = 0.8984375
Batch 65: loss = 0.3102830648422241, acc = 0.896484375
Batch 66: loss = 0.3044673800468445, acc = 0.9013671875
Batch 67: loss = 0.3044680953025818, acc = 0.8818359375
Batch 68: loss = 0.33483898639678955, acc = 0.8896484375
Batch 69: loss = 0.2537587583065033, acc = 0.919921875
Batch 70: loss = 0.3383171558380127, acc = 0.8828125
Batch 71: loss = 0.3280711770057678, acc = 0.8935546875
Batch 72: loss = 0.3178286552429199, acc = 0.8974609375
Batch 73: loss = 0.35653209686279297, acc = 0.87890625
Batch 74: loss = 0.35630059242248535, acc = 0.8720703125
Batch 75: loss = 0.3643496334552765, acc = 0.8740234375
Batch 76: loss = 0.3813539743423462, acc = 0.875
Batch 77: loss = 0.2805258631706238, acc = 0.8994140625
Batch 78: loss = 0.3486056327819824, acc = 0.876953125
Batch 79: loss = 0.2898261547088623, acc = 0.8984375
Batch 80: loss = 0.2896748185157776, acc = 0.896484375
Batch 81: loss = 0.3337888717651367, acc = 0.8837890625
Batch 82: loss = 0.3080021142959595, acc = 0.8974609375
Batch 83: loss = 0.3230934143066406, acc = 0.888671875
Batch 84: loss = 0.3280499279499054, acc = 0.888671875
Batch 85: loss = 0.3467283248901367, acc = 0.8671875
Batch 86: loss = 0.3311680555343628, acc = 0.8896484375
Batch 87: loss = 0.318886935710907, acc = 0.8876953125
Batch 88: loss = 0.35196661949157715, acc = 0.8779296875
Batch 89: loss = 0.2794705033302307, acc = 0.90625
Batch 90: loss = 0.3259272575378418, acc = 0.884765625
Batch 91: loss = 0.34406521916389465, acc = 0.8740234375
Batch 92: loss = 0.35870805382728577, acc = 0.8837890625
Batch 93: loss = 0.3019956350326538, acc = 0.8984375
Batch 94: loss = 0.319577157497406, acc = 0.8935546875
Batch 95: loss = 0.30792373418807983, acc = 0.892578125
Batch 96: loss = 0.3618464469909668, acc = 0.8671875
Batch 97: loss = 0.31469255685806274, acc = 0.8916015625
Batch 98: loss = 0.30685263872146606, acc = 0.8896484375
Batch 99: loss = 0.3405495882034302, acc = 0.8837890625
Batch 100: loss = 0.34947535395622253, acc = 0.8798828125
Batch 101: loss = 0.31470465660095215, acc = 0.8935546875
Batch 102: loss = 0.3413987457752228, acc = 0.8759765625
Batch 103: loss = 0.3078312575817108, acc = 0.8955078125
Batch 104: loss = 0.2655305564403534, acc = 0.908203125
Batch 105: loss = 0.2840421795845032, acc = 0.9072265625
Batch 106: loss = 0.2957614064216614, acc = 0.8974609375
Batch 107: loss = 0.3130083680152893, acc = 0.88671875
Batch 108: loss = 0.3234750032424927, acc = 0.8896484375
Batch 109: loss = 0.2935038208961487, acc = 0.904296875
Batch 110: loss = 0.2878757119178772, acc = 0.9091796875
Batch 111: loss = 0.31494027376174927, acc = 0.904296875
Batch 112: loss = 0.31432074308395386, acc = 0.892578125
Batch 113: loss = 0.34348064661026, acc = 0.876953125
Batch 114: loss = 0.34173986315727234, acc = 0.87890625
Batch 115: loss = 0.31954652070999146, acc = 0.890625
Batch 116: loss = 0.3630211353302002, acc = 0.8779296875
Batch 117: loss = 0.3247682452201843, acc = 0.8876953125
Batch 118: loss = 0.29209864139556885, acc = 0.9052734375
Batch 119: loss = 0.29272863268852234, acc = 0.8994140625
Batch 120: loss = 0.2878583073616028, acc = 0.8994140625
Batch 121: loss = 0.3171023726463318, acc = 0.8857421875
Batch 122: loss = 0.2983202338218689, acc = 0.90234375
Batch 123: loss = 0.3271547853946686, acc = 0.8876953125
Batch 124: loss = 0.345608115196228, acc = 0.880859375
Batch 125: loss = 0.33439767360687256, acc = 0.8876953125
Batch 126: loss = 0.30780264735221863, acc = 0.8857421875

Epoch 73/100
Batch 1: loss = 0.4361293315887451, acc = 0.8603515625
Batch 2: loss = 0.3453555703163147, acc = 0.880859375
Batch 3: loss = 0.3237455487251282, acc = 0.89453125
Batch 4: loss = 0.3309972882270813, acc = 0.8837890625
Batch 5: loss = 0.3670614957809448, acc = 0.873046875
Batch 6: loss = 0.34641140699386597, acc = 0.875
Batch 7: loss = 0.32044118642807007, acc = 0.8876953125
Batch 8: loss = 0.3521442413330078, acc = 0.87890625
Batch 9: loss = 0.33812394738197327, acc = 0.88671875
Batch 10: loss = 0.27656489610671997, acc = 0.9091796875
Batch 11: loss = 0.30219823122024536, acc = 0.9033203125
Batch 12: loss = 0.30256831645965576, acc = 0.8955078125
Batch 13: loss = 0.3330855667591095, acc = 0.888671875
Batch 14: loss = 0.3229418396949768, acc = 0.90234375
Batch 15: loss = 0.3018715977668762, acc = 0.8896484375
Batch 16: loss = 0.3191053867340088, acc = 0.8994140625
Batch 17: loss = 0.31361058354377747, acc = 0.9013671875
Batch 18: loss = 0.37268078327178955, acc = 0.87890625
Batch 19: loss = 0.3047568202018738, acc = 0.8935546875
Batch 20: loss = 0.3372175693511963, acc = 0.8828125
Batch 21: loss = 0.32380399107933044, acc = 0.8955078125
Batch 22: loss = 0.32952508330345154, acc = 0.8818359375
Batch 23: loss = 0.35124608874320984, acc = 0.8828125
Batch 24: loss = 0.3135029673576355, acc = 0.890625
Batch 25: loss = 0.3427553176879883, acc = 0.88671875
Batch 26: loss = 0.31133460998535156, acc = 0.8974609375
Batch 27: loss = 0.36550673842430115, acc = 0.8740234375
Batch 28: loss = 0.3220874071121216, acc = 0.8916015625
Batch 29: loss = 0.3290194869041443, acc = 0.8828125
Batch 30: loss = 0.3133252263069153, acc = 0.8916015625
Batch 31: loss = 0.32436662912368774, acc = 0.890625
Batch 32: loss = 0.35581985116004944, acc = 0.884765625
Batch 33: loss = 0.31880298256874084, acc = 0.892578125
Batch 34: loss = 0.33135825395584106, acc = 0.8828125
Batch 35: loss = 0.2881268262863159, acc = 0.904296875
Batch 36: loss = 0.27238598465919495, acc = 0.9072265625
Batch 37: loss = 0.26215678453445435, acc = 0.912109375
Batch 38: loss = 0.318789541721344, acc = 0.89453125
Batch 39: loss = 0.29397645592689514, acc = 0.9111328125
Batch 40: loss = 0.2894570827484131, acc = 0.90625
Batch 41: loss = 0.2831939458847046, acc = 0.90234375
Batch 42: loss = 0.30941638350486755, acc = 0.896484375
Batch 43: loss = 0.3294888734817505, acc = 0.88671875
Batch 44: loss = 0.2852569818496704, acc = 0.9111328125
Batch 45: loss = 0.3069609999656677, acc = 0.896484375
Batch 46: loss = 0.28420040011405945, acc = 0.90625
Batch 47: loss = 0.2859083414077759, acc = 0.9013671875
Batch 48: loss = 0.2699594497680664, acc = 0.912109375
Batch 49: loss = 0.24902690947055817, acc = 0.9189453125
Batch 50: loss = 0.31178563833236694, acc = 0.90234375
Batch 51: loss = 0.3097219467163086, acc = 0.896484375
Batch 52: loss = 0.29199913144111633, acc = 0.8974609375
Batch 53: loss = 0.3122818171977997, acc = 0.890625
Batch 54: loss = 0.26971083879470825, acc = 0.908203125
Batch 55: loss = 0.2889389991760254, acc = 0.9033203125
Batch 56: loss = 0.3115399479866028, acc = 0.8896484375
Batch 57: loss = 0.3754996657371521, acc = 0.865234375
Batch 58: loss = 0.35163259506225586, acc = 0.884765625
Batch 59: loss = 0.2452445924282074, acc = 0.9267578125
Batch 60: loss = 0.31930387020111084, acc = 0.888671875
Batch 61: loss = 0.30408692359924316, acc = 0.9013671875
Batch 62: loss = 0.37539660930633545, acc = 0.8623046875
Batch 63: loss = 0.29813528060913086, acc = 0.8974609375
Batch 64: loss = 0.2783558964729309, acc = 0.9072265625
Batch 65: loss = 0.29688942432403564, acc = 0.912109375
Batch 66: loss = 0.2993203401565552, acc = 0.904296875
Batch 67: loss = 0.3126838803291321, acc = 0.8876953125
Batch 68: loss = 0.2938983738422394, acc = 0.8994140625
Batch 69: loss = 0.28245478868484497, acc = 0.9052734375
Batch 70: loss = 0.35410594940185547, acc = 0.890625
Batch 71: loss = 0.32457590103149414, acc = 0.8857421875
Batch 72: loss = 0.299154132604599, acc = 0.8935546875
Batch 73: loss = 0.3268369436264038, acc = 0.8935546875
Batch 74: loss = 0.33784639835357666, acc = 0.8798828125
Batch 75: loss = 0.3390330374240875, acc = 0.884765625
Batch 76: loss = 0.34801363945007324, acc = 0.87890625
Batch 77: loss = 0.29113590717315674, acc = 0.8896484375
Batch 78: loss = 0.33651918172836304, acc = 0.8779296875
Batch 79: loss = 0.33557119965553284, acc = 0.884765625
Batch 80: loss = 0.2638549208641052, acc = 0.91015625
Batch 81: loss = 0.335079550743103, acc = 0.884765625
Batch 82: loss = 0.28195279836654663, acc = 0.91796875
Batch 83: loss = 0.30464422702789307, acc = 0.88671875
Batch 84: loss = 0.31162530183792114, acc = 0.890625
Batch 85: loss = 0.31009626388549805, acc = 0.8896484375
Batch 86: loss = 0.31144750118255615, acc = 0.8984375
Batch 87: loss = 0.30186936259269714, acc = 0.9091796875
Batch 88: loss = 0.3683857023715973, acc = 0.888671875
Batch 89: loss = 0.30299893021583557, acc = 0.9091796875
Batch 90: loss = 0.28592008352279663, acc = 0.904296875
Batch 91: loss = 0.31036728620529175, acc = 0.9013671875
Batch 92: loss = 0.3492051362991333, acc = 0.884765625
Batch 93: loss = 0.2638375759124756, acc = 0.9140625
Batch 94: loss = 0.27846619486808777, acc = 0.9033203125
Batch 95: loss = 0.29279500246047974, acc = 0.8955078125
Batch 96: loss = 0.33823058009147644, acc = 0.888671875
Batch 97: loss = 0.32846859097480774, acc = 0.9013671875
Batch 98: loss = 0.3123709559440613, acc = 0.89453125
Batch 99: loss = 0.31131038069725037, acc = 0.8955078125
Batch 100: loss = 0.3206905424594879, acc = 0.892578125
Batch 101: loss = 0.32244187593460083, acc = 0.8837890625
Batch 102: loss = 0.3015243113040924, acc = 0.892578125
Batch 103: loss = 0.2998906970024109, acc = 0.892578125
Batch 104: loss = 0.26978105306625366, acc = 0.9091796875
Batch 105: loss = 0.29326826333999634, acc = 0.90234375
Batch 106: loss = 0.30876678228378296, acc = 0.8896484375
Batch 107: loss = 0.2991785705089569, acc = 0.8984375
Batch 108: loss = 0.3091833293437958, acc = 0.892578125
Batch 109: loss = 0.3444140553474426, acc = 0.888671875
Batch 110: loss = 0.29315584897994995, acc = 0.90234375
Batch 111: loss = 0.3466533422470093, acc = 0.8876953125
Batch 112: loss = 0.32960230112075806, acc = 0.892578125
Batch 113: loss = 0.3056100904941559, acc = 0.8876953125
Batch 114: loss = 0.3342970013618469, acc = 0.8857421875
Batch 115: loss = 0.3080824911594391, acc = 0.896484375
Batch 116: loss = 0.3610857427120209, acc = 0.873046875
Batch 117: loss = 0.2804678678512573, acc = 0.9072265625
Batch 118: loss = 0.31380099058151245, acc = 0.890625
Batch 119: loss = 0.30372491478919983, acc = 0.9033203125
Batch 120: loss = 0.2966794967651367, acc = 0.90234375
Batch 121: loss = 0.30916982889175415, acc = 0.8984375
Batch 122: loss = 0.32046642899513245, acc = 0.8876953125
Batch 123: loss = 0.301275372505188, acc = 0.9013671875
Batch 124: loss = 0.37273484468460083, acc = 0.880859375
Batch 125: loss = 0.3802698850631714, acc = 0.8740234375
Batch 126: loss = 0.3423902690410614, acc = 0.890625

Epoch 74/100
Batch 1: loss = 0.4204002618789673, acc = 0.8759765625
Batch 2: loss = 0.3487989902496338, acc = 0.87890625
Batch 3: loss = 0.36018162965774536, acc = 0.87890625
Batch 4: loss = 0.27350470423698425, acc = 0.9091796875
Batch 5: loss = 0.3248344659805298, acc = 0.89453125
Batch 6: loss = 0.3419390916824341, acc = 0.880859375
Batch 7: loss = 0.3151073455810547, acc = 0.8984375
Batch 8: loss = 0.2993316054344177, acc = 0.9033203125
Batch 9: loss = 0.31154531240463257, acc = 0.8876953125
Batch 10: loss = 0.274139940738678, acc = 0.9111328125
Batch 11: loss = 0.33199185132980347, acc = 0.873046875
Batch 12: loss = 0.3092758059501648, acc = 0.89453125
Batch 13: loss = 0.3093855381011963, acc = 0.8974609375
Batch 14: loss = 0.3306010365486145, acc = 0.890625
Batch 15: loss = 0.31413182616233826, acc = 0.9052734375
Batch 16: loss = 0.3072514832019806, acc = 0.90234375
Batch 17: loss = 0.33782100677490234, acc = 0.884765625
Batch 18: loss = 0.3621373772621155, acc = 0.880859375
Batch 19: loss = 0.32021984457969666, acc = 0.8916015625
Batch 20: loss = 0.30387598276138306, acc = 0.884765625
Batch 21: loss = 0.35412412881851196, acc = 0.8857421875
Batch 22: loss = 0.308257520198822, acc = 0.900390625
Batch 23: loss = 0.3595602214336395, acc = 0.8720703125
Batch 24: loss = 0.32315266132354736, acc = 0.89453125
Batch 25: loss = 0.3197442889213562, acc = 0.890625
Batch 26: loss = 0.2999613285064697, acc = 0.90234375
Batch 27: loss = 0.3352982997894287, acc = 0.8798828125
Batch 28: loss = 0.35967713594436646, acc = 0.8701171875
Batch 29: loss = 0.3184445798397064, acc = 0.88671875
Batch 30: loss = 0.2969897985458374, acc = 0.8916015625
Batch 31: loss = 0.3201914131641388, acc = 0.884765625
Batch 32: loss = 0.38102173805236816, acc = 0.8671875
Batch 33: loss = 0.3054075837135315, acc = 0.8974609375
Batch 34: loss = 0.3150792121887207, acc = 0.89453125
Batch 35: loss = 0.2875869870185852, acc = 0.90625
Batch 36: loss = 0.2882147431373596, acc = 0.8984375
Batch 37: loss = 0.2693040370941162, acc = 0.9091796875
Batch 38: loss = 0.3149375021457672, acc = 0.8896484375
Batch 39: loss = 0.28378942608833313, acc = 0.9072265625
Batch 40: loss = 0.3233324885368347, acc = 0.888671875
Batch 41: loss = 0.30167531967163086, acc = 0.8955078125
Batch 42: loss = 0.29068523645401, acc = 0.8955078125
Batch 43: loss = 0.30788302421569824, acc = 0.8984375
Batch 44: loss = 0.32462990283966064, acc = 0.8974609375
Batch 45: loss = 0.27844953536987305, acc = 0.9033203125
Batch 46: loss = 0.2990262508392334, acc = 0.8984375
Batch 47: loss = 0.29734429717063904, acc = 0.9033203125
Batch 48: loss = 0.27226096391677856, acc = 0.916015625
Batch 49: loss = 0.2793574035167694, acc = 0.9072265625
Batch 50: loss = 0.3283829092979431, acc = 0.8818359375
Batch 51: loss = 0.2959510385990143, acc = 0.900390625
Batch 52: loss = 0.317552387714386, acc = 0.8798828125
Batch 53: loss = 0.3100706934928894, acc = 0.8994140625
Batch 54: loss = 0.24710023403167725, acc = 0.9150390625
Batch 55: loss = 0.27557823061943054, acc = 0.9072265625
Batch 56: loss = 0.32046669721603394, acc = 0.8994140625
Batch 57: loss = 0.3375980257987976, acc = 0.8798828125
Batch 58: loss = 0.34499508142471313, acc = 0.884765625
Batch 59: loss = 0.2546073794364929, acc = 0.923828125
Batch 60: loss = 0.3084478974342346, acc = 0.89453125
Batch 61: loss = 0.2925926744937897, acc = 0.904296875
Batch 62: loss = 0.37198111414909363, acc = 0.869140625
Batch 63: loss = 0.3300788700580597, acc = 0.890625
Batch 64: loss = 0.2757706344127655, acc = 0.9052734375
Batch 65: loss = 0.3167552351951599, acc = 0.9013671875
Batch 66: loss = 0.3104051351547241, acc = 0.9013671875
Batch 67: loss = 0.2545201778411865, acc = 0.9072265625
Batch 68: loss = 0.3024197220802307, acc = 0.8955078125
Batch 69: loss = 0.28031837940216064, acc = 0.8994140625
Batch 70: loss = 0.32593297958374023, acc = 0.884765625
Batch 71: loss = 0.30280518531799316, acc = 0.8955078125
Batch 72: loss = 0.28413084149360657, acc = 0.9111328125
Batch 73: loss = 0.33873409032821655, acc = 0.8857421875
Batch 74: loss = 0.36398354172706604, acc = 0.8623046875
Batch 75: loss = 0.38890498876571655, acc = 0.8662109375
Batch 76: loss = 0.2911608815193176, acc = 0.908203125
Batch 77: loss = 0.29714709520339966, acc = 0.896484375
Batch 78: loss = 0.29207366704940796, acc = 0.9052734375
Batch 79: loss = 0.28087562322616577, acc = 0.912109375
Batch 80: loss = 0.28818339109420776, acc = 0.9111328125
Batch 81: loss = 0.33908236026763916, acc = 0.876953125
Batch 82: loss = 0.2972966432571411, acc = 0.8984375
Batch 83: loss = 0.2796441316604614, acc = 0.9052734375
Batch 84: loss = 0.30783194303512573, acc = 0.88671875
Batch 85: loss = 0.31585457921028137, acc = 0.8935546875
Batch 86: loss = 0.3377336263656616, acc = 0.8837890625
Batch 87: loss = 0.32295021414756775, acc = 0.8896484375
Batch 88: loss = 0.35080283880233765, acc = 0.8798828125
Batch 89: loss = 0.31498315930366516, acc = 0.8994140625
Batch 90: loss = 0.34366369247436523, acc = 0.8857421875
Batch 91: loss = 0.32889050245285034, acc = 0.8896484375
Batch 92: loss = 0.32870227098464966, acc = 0.8916015625
Batch 93: loss = 0.2663721442222595, acc = 0.9111328125
Batch 94: loss = 0.26501911878585815, acc = 0.921875
Batch 95: loss = 0.29465043544769287, acc = 0.8974609375
Batch 96: loss = 0.3194087743759155, acc = 0.876953125
Batch 97: loss = 0.3028935194015503, acc = 0.8994140625
Batch 98: loss = 0.32323962450027466, acc = 0.8974609375
Batch 99: loss = 0.3399960994720459, acc = 0.888671875
Batch 100: loss = 0.30269497632980347, acc = 0.8896484375
Batch 101: loss = 0.28592467308044434, acc = 0.908203125
Batch 102: loss = 0.33682143688201904, acc = 0.87890625
Batch 103: loss = 0.31058064103126526, acc = 0.89453125
Batch 104: loss = 0.2871231734752655, acc = 0.8974609375
Batch 105: loss = 0.2598378658294678, acc = 0.912109375
Batch 106: loss = 0.3030661344528198, acc = 0.8955078125
Batch 107: loss = 0.3013031482696533, acc = 0.8994140625
Batch 108: loss = 0.32444971799850464, acc = 0.87890625
Batch 109: loss = 0.2941039800643921, acc = 0.8984375
Batch 110: loss = 0.2940818667411804, acc = 0.9052734375
Batch 111: loss = 0.32153597474098206, acc = 0.8984375
Batch 112: loss = 0.34102725982666016, acc = 0.8857421875
Batch 113: loss = 0.31043991446495056, acc = 0.89453125
Batch 114: loss = 0.35382747650146484, acc = 0.8828125
Batch 115: loss = 0.3558751344680786, acc = 0.8837890625
Batch 116: loss = 0.34718477725982666, acc = 0.8818359375
Batch 117: loss = 0.33299127221107483, acc = 0.89453125
Batch 118: loss = 0.3028680682182312, acc = 0.8974609375
Batch 119: loss = 0.3063334822654724, acc = 0.90234375
Batch 120: loss = 0.2975829243659973, acc = 0.8984375
Batch 121: loss = 0.29784727096557617, acc = 0.888671875
Batch 122: loss = 0.3141489624977112, acc = 0.8828125
Batch 123: loss = 0.2897573411464691, acc = 0.890625
Batch 124: loss = 0.3816083073616028, acc = 0.8701171875
Batch 125: loss = 0.32500994205474854, acc = 0.8955078125
Batch 126: loss = 0.34630075097084045, acc = 0.87890625

Epoch 75/100
Batch 1: loss = 0.4004485309123993, acc = 0.8701171875
Batch 2: loss = 0.33334267139434814, acc = 0.884765625
Batch 3: loss = 0.3300424814224243, acc = 0.8818359375
Batch 4: loss = 0.3051757216453552, acc = 0.9033203125
Batch 5: loss = 0.3102145493030548, acc = 0.8974609375
Batch 6: loss = 0.34643328189849854, acc = 0.8828125
Batch 7: loss = 0.303361713886261, acc = 0.892578125
Batch 8: loss = 0.3195593059062958, acc = 0.8974609375
Batch 9: loss = 0.3096092641353607, acc = 0.8935546875
Batch 10: loss = 0.2788354754447937, acc = 0.9072265625
Batch 11: loss = 0.33750230073928833, acc = 0.89453125
Batch 12: loss = 0.3188679814338684, acc = 0.8935546875
Batch 13: loss = 0.3021833598613739, acc = 0.900390625
Batch 14: loss = 0.3254842758178711, acc = 0.9013671875
Batch 15: loss = 0.31506311893463135, acc = 0.8916015625
Batch 16: loss = 0.2884688973426819, acc = 0.904296875
Batch 17: loss = 0.31583771109580994, acc = 0.9033203125
Batch 18: loss = 0.32162797451019287, acc = 0.888671875
Batch 19: loss = 0.3034108877182007, acc = 0.90234375
Batch 20: loss = 0.3218606412410736, acc = 0.888671875
Batch 21: loss = 0.3127572238445282, acc = 0.896484375
Batch 22: loss = 0.31901639699935913, acc = 0.8984375
Batch 23: loss = 0.34547898173332214, acc = 0.8818359375
Batch 24: loss = 0.3171154260635376, acc = 0.892578125
Batch 25: loss = 0.30681464076042175, acc = 0.8984375
Batch 26: loss = 0.26894503831863403, acc = 0.904296875
Batch 27: loss = 0.3591042757034302, acc = 0.875
Batch 28: loss = 0.3534688651561737, acc = 0.8837890625
Batch 29: loss = 0.3326655626296997, acc = 0.8955078125
Batch 30: loss = 0.2941208481788635, acc = 0.8984375
Batch 31: loss = 0.3080371618270874, acc = 0.8955078125
Batch 32: loss = 0.3087613880634308, acc = 0.896484375
Batch 33: loss = 0.2697228193283081, acc = 0.9140625
Batch 34: loss = 0.31268662214279175, acc = 0.896484375
Batch 35: loss = 0.3182418942451477, acc = 0.8916015625
Batch 36: loss = 0.28307873010635376, acc = 0.90234375
Batch 37: loss = 0.28406858444213867, acc = 0.908203125
Batch 38: loss = 0.30704373121261597, acc = 0.896484375
Batch 39: loss = 0.28494709730148315, acc = 0.90234375
Batch 40: loss = 0.3221900463104248, acc = 0.892578125
Batch 41: loss = 0.2765447497367859, acc = 0.9140625
Batch 42: loss = 0.3189924359321594, acc = 0.892578125
Batch 43: loss = 0.3214089870452881, acc = 0.888671875
Batch 44: loss = 0.33118388056755066, acc = 0.896484375
Batch 45: loss = 0.2825397849082947, acc = 0.9130859375
Batch 46: loss = 0.26185813546180725, acc = 0.91015625
Batch 47: loss = 0.28410425782203674, acc = 0.9072265625
Batch 48: loss = 0.30649858713150024, acc = 0.89453125
Batch 49: loss = 0.26840242743492126, acc = 0.9072265625
Batch 50: loss = 0.3290144205093384, acc = 0.896484375
Batch 51: loss = 0.2856893241405487, acc = 0.90625
Batch 52: loss = 0.32534080743789673, acc = 0.892578125
Batch 53: loss = 0.34421640634536743, acc = 0.8974609375
Batch 54: loss = 0.25123679637908936, acc = 0.927734375
Batch 55: loss = 0.2675691246986389, acc = 0.9130859375
Batch 56: loss = 0.27101296186447144, acc = 0.9072265625
Batch 57: loss = 0.3526758551597595, acc = 0.8837890625
Batch 58: loss = 0.34203463792800903, acc = 0.880859375
Batch 59: loss = 0.2660209536552429, acc = 0.9052734375
Batch 60: loss = 0.29281729459762573, acc = 0.896484375
Batch 61: loss = 0.2861036956310272, acc = 0.9072265625
Batch 62: loss = 0.3420937657356262, acc = 0.884765625
Batch 63: loss = 0.3000516891479492, acc = 0.8994140625
Batch 64: loss = 0.273417592048645, acc = 0.9072265625
Batch 65: loss = 0.3183445930480957, acc = 0.8984375
Batch 66: loss = 0.30529600381851196, acc = 0.8984375
Batch 67: loss = 0.3065751791000366, acc = 0.8876953125
Batch 68: loss = 0.27997371554374695, acc = 0.91015625
Batch 69: loss = 0.26028525829315186, acc = 0.91796875
Batch 70: loss = 0.3414521813392639, acc = 0.875
Batch 71: loss = 0.31909412145614624, acc = 0.8896484375
Batch 72: loss = 0.2852064371109009, acc = 0.9033203125
Batch 73: loss = 0.33497753739356995, acc = 0.8798828125
Batch 74: loss = 0.3469803035259247, acc = 0.8759765625
Batch 75: loss = 0.36916011571884155, acc = 0.8603515625
Batch 76: loss = 0.3572459816932678, acc = 0.8642578125
Batch 77: loss = 0.27612271904945374, acc = 0.904296875
Batch 78: loss = 0.3266497850418091, acc = 0.890625
Batch 79: loss = 0.28216391801834106, acc = 0.9013671875
Batch 80: loss = 0.28215983510017395, acc = 0.908203125
Batch 81: loss = 0.3253694772720337, acc = 0.8876953125
Batch 82: loss = 0.314936101436615, acc = 0.8818359375
Batch 83: loss = 0.3074597716331482, acc = 0.8876953125
Batch 84: loss = 0.33348625898361206, acc = 0.8828125
Batch 85: loss = 0.33462220430374146, acc = 0.8759765625
Batch 86: loss = 0.32286515831947327, acc = 0.884765625
Batch 87: loss = 0.32147225737571716, acc = 0.892578125
Batch 88: loss = 0.3512260913848877, acc = 0.8837890625
Batch 89: loss = 0.2748192846775055, acc = 0.908203125
Batch 90: loss = 0.3084315359592438, acc = 0.8896484375
Batch 91: loss = 0.31747061014175415, acc = 0.88671875
Batch 92: loss = 0.34655871987342834, acc = 0.8896484375
Batch 93: loss = 0.28777751326560974, acc = 0.8994140625
Batch 94: loss = 0.2565681040287018, acc = 0.9072265625
Batch 95: loss = 0.2936354875564575, acc = 0.9013671875
Batch 96: loss = 0.33906713128089905, acc = 0.884765625
Batch 97: loss = 0.31988298892974854, acc = 0.896484375
Batch 98: loss = 0.31061145663261414, acc = 0.8876953125
Batch 99: loss = 0.3389313519001007, acc = 0.8779296875
Batch 100: loss = 0.37315553426742554, acc = 0.865234375
Batch 101: loss = 0.3466876149177551, acc = 0.875
Batch 102: loss = 0.36630380153656006, acc = 0.8720703125
Batch 103: loss = 0.3163231611251831, acc = 0.896484375
Batch 104: loss = 0.26769208908081055, acc = 0.9111328125
Batch 105: loss = 0.2781161069869995, acc = 0.904296875
Batch 106: loss = 0.32029658555984497, acc = 0.8818359375
Batch 107: loss = 0.31919530034065247, acc = 0.890625
Batch 108: loss = 0.3551003932952881, acc = 0.87109375
Batch 109: loss = 0.30903351306915283, acc = 0.89453125
Batch 110: loss = 0.2753479778766632, acc = 0.9150390625
Batch 111: loss = 0.3364347219467163, acc = 0.8896484375
Batch 112: loss = 0.31447136402130127, acc = 0.8916015625
Batch 113: loss = 0.31772345304489136, acc = 0.89453125
Batch 114: loss = 0.321255087852478, acc = 0.8916015625
Batch 115: loss = 0.31135475635528564, acc = 0.8916015625
Batch 116: loss = 0.31631430983543396, acc = 0.8916015625
Batch 117: loss = 0.31285005807876587, acc = 0.8955078125
Batch 118: loss = 0.288598895072937, acc = 0.90625
Batch 119: loss = 0.3164001703262329, acc = 0.89453125
Batch 120: loss = 0.29358309507369995, acc = 0.90625
Batch 121: loss = 0.30128926038742065, acc = 0.900390625
Batch 122: loss = 0.3045240044593811, acc = 0.890625
Batch 123: loss = 0.29438257217407227, acc = 0.8955078125
Batch 124: loss = 0.34682267904281616, acc = 0.8837890625
Batch 125: loss = 0.33109432458877563, acc = 0.8916015625
Batch 126: loss = 0.31918472051620483, acc = 0.8916015625

Epoch 76/100
Batch 1: loss = 0.38741442561149597, acc = 0.87109375
Batch 2: loss = 0.33055415749549866, acc = 0.8876953125
Batch 3: loss = 0.32864683866500854, acc = 0.8857421875
Batch 4: loss = 0.2965686619281769, acc = 0.9013671875
Batch 5: loss = 0.324349045753479, acc = 0.896484375
Batch 6: loss = 0.3498252034187317, acc = 0.8740234375
Batch 7: loss = 0.2862950563430786, acc = 0.8984375
Batch 8: loss = 0.2971823215484619, acc = 0.9013671875
Batch 9: loss = 0.3385436534881592, acc = 0.892578125
Batch 10: loss = 0.26387614011764526, acc = 0.9150390625
Batch 11: loss = 0.3299188017845154, acc = 0.8837890625
Batch 12: loss = 0.3374548554420471, acc = 0.8818359375
Batch 13: loss = 0.3228732645511627, acc = 0.88671875
Batch 14: loss = 0.30656877160072327, acc = 0.8994140625
Batch 15: loss = 0.2862780690193176, acc = 0.912109375
Batch 16: loss = 0.3354870080947876, acc = 0.869140625
Batch 17: loss = 0.30118343234062195, acc = 0.904296875
Batch 18: loss = 0.36246931552886963, acc = 0.8701171875
Batch 19: loss = 0.27837422490119934, acc = 0.91796875
Batch 20: loss = 0.31874245405197144, acc = 0.8935546875
Batch 21: loss = 0.31292325258255005, acc = 0.8984375
Batch 22: loss = 0.30495190620422363, acc = 0.8876953125
Batch 23: loss = 0.32664042711257935, acc = 0.8916015625
Batch 24: loss = 0.2949366867542267, acc = 0.9013671875
Batch 25: loss = 0.34427493810653687, acc = 0.884765625
Batch 26: loss = 0.2843915522098541, acc = 0.90234375
Batch 27: loss = 0.3406994640827179, acc = 0.875
Batch 28: loss = 0.33566170930862427, acc = 0.8837890625
Batch 29: loss = 0.34124743938446045, acc = 0.884765625
Batch 30: loss = 0.3300715982913971, acc = 0.884765625
Batch 31: loss = 0.3199104070663452, acc = 0.8896484375
Batch 32: loss = 0.35376235842704773, acc = 0.8837890625
Batch 33: loss = 0.2992474138736725, acc = 0.904296875
Batch 34: loss = 0.3581414222717285, acc = 0.8779296875
Batch 35: loss = 0.27439793944358826, acc = 0.900390625
Batch 36: loss = 0.2509182095527649, acc = 0.91796875
Batch 37: loss = 0.2650032341480255, acc = 0.9072265625
Batch 38: loss = 0.28617507219314575, acc = 0.9052734375
Batch 39: loss = 0.29554104804992676, acc = 0.896484375
Batch 40: loss = 0.2840501666069031, acc = 0.9013671875
Batch 41: loss = 0.2928379476070404, acc = 0.8935546875
Batch 42: loss = 0.28865495324134827, acc = 0.904296875
Batch 43: loss = 0.32519662380218506, acc = 0.8876953125
Batch 44: loss = 0.29758864641189575, acc = 0.9111328125
Batch 45: loss = 0.298938512802124, acc = 0.900390625
Batch 46: loss = 0.30551567673683167, acc = 0.892578125
Batch 47: loss = 0.30124586820602417, acc = 0.8994140625
Batch 48: loss = 0.2806723713874817, acc = 0.904296875
Batch 49: loss = 0.26578640937805176, acc = 0.916015625
Batch 50: loss = 0.29773712158203125, acc = 0.8994140625
Batch 51: loss = 0.2786758542060852, acc = 0.904296875
Batch 52: loss = 0.3001459836959839, acc = 0.896484375
Batch 53: loss = 0.3073100447654724, acc = 0.9052734375
Batch 54: loss = 0.21796667575836182, acc = 0.92578125
Batch 55: loss = 0.2349516600370407, acc = 0.931640625
Batch 56: loss = 0.30651694536209106, acc = 0.896484375
Batch 57: loss = 0.31553536653518677, acc = 0.890625
Batch 58: loss = 0.3545275032520294, acc = 0.8720703125
Batch 59: loss = 0.23746201395988464, acc = 0.9150390625
Batch 60: loss = 0.2972845435142517, acc = 0.89453125
Batch 61: loss = 0.2931041121482849, acc = 0.896484375
Batch 62: loss = 0.3255135715007782, acc = 0.888671875
Batch 63: loss = 0.3131245970726013, acc = 0.8876953125
Batch 64: loss = 0.2807714343070984, acc = 0.900390625
Batch 65: loss = 0.31406357884407043, acc = 0.8955078125
Batch 66: loss = 0.29260993003845215, acc = 0.8994140625
Batch 67: loss = 0.25122886896133423, acc = 0.921875
Batch 68: loss = 0.3064579963684082, acc = 0.8984375
Batch 69: loss = 0.28335607051849365, acc = 0.9013671875
Batch 70: loss = 0.35381871461868286, acc = 0.884765625
Batch 71: loss = 0.30259644985198975, acc = 0.8896484375
Batch 72: loss = 0.2927846610546112, acc = 0.90234375
Batch 73: loss = 0.32305335998535156, acc = 0.8896484375
Batch 74: loss = 0.3280767798423767, acc = 0.8876953125
Batch 75: loss = 0.3272255063056946, acc = 0.8818359375
Batch 76: loss = 0.33462774753570557, acc = 0.8896484375
Batch 77: loss = 0.2782425284385681, acc = 0.9033203125
Batch 78: loss = 0.287868469953537, acc = 0.90234375
Batch 79: loss = 0.2898511588573456, acc = 0.9072265625
Batch 80: loss = 0.26100829243659973, acc = 0.904296875
Batch 81: loss = 0.3010985255241394, acc = 0.8935546875
Batch 82: loss = 0.30509859323501587, acc = 0.8974609375
Batch 83: loss = 0.2942250072956085, acc = 0.896484375
Batch 84: loss = 0.3304910659790039, acc = 0.8935546875
Batch 85: loss = 0.3295612037181854, acc = 0.8779296875
Batch 86: loss = 0.35221344232559204, acc = 0.8828125
Batch 87: loss = 0.30426740646362305, acc = 0.900390625
Batch 88: loss = 0.3715592324733734, acc = 0.8720703125
Batch 89: loss = 0.28364238142967224, acc = 0.900390625
Batch 90: loss = 0.3213549852371216, acc = 0.88671875
Batch 91: loss = 0.33357465267181396, acc = 0.875
Batch 92: loss = 0.32097095251083374, acc = 0.8896484375
Batch 93: loss = 0.2648472189903259, acc = 0.912109375
Batch 94: loss = 0.2882534861564636, acc = 0.90234375
Batch 95: loss = 0.2802633047103882, acc = 0.90234375
Batch 96: loss = 0.32666444778442383, acc = 0.876953125
Batch 97: loss = 0.2962827682495117, acc = 0.9033203125
Batch 98: loss = 0.3082583546638489, acc = 0.9052734375
Batch 99: loss = 0.2975156605243683, acc = 0.9130859375
Batch 100: loss = 0.32411080598831177, acc = 0.8974609375
Batch 101: loss = 0.2978576421737671, acc = 0.90625
Batch 102: loss = 0.3445507884025574, acc = 0.8759765625
Batch 103: loss = 0.32707923650741577, acc = 0.880859375
Batch 104: loss = 0.25644779205322266, acc = 0.9150390625
Batch 105: loss = 0.29078787565231323, acc = 0.9052734375
Batch 106: loss = 0.28867995738983154, acc = 0.908203125
Batch 107: loss = 0.3092738389968872, acc = 0.89453125
Batch 108: loss = 0.2838056981563568, acc = 0.8994140625
Batch 109: loss = 0.2950979471206665, acc = 0.8994140625
Batch 110: loss = 0.2688669264316559, acc = 0.9150390625
Batch 111: loss = 0.3436519503593445, acc = 0.8818359375
Batch 112: loss = 0.31342804431915283, acc = 0.900390625
Batch 113: loss = 0.319511741399765, acc = 0.89453125
Batch 114: loss = 0.35167396068573, acc = 0.87890625
Batch 115: loss = 0.3389507234096527, acc = 0.8935546875
Batch 116: loss = 0.3694305419921875, acc = 0.8759765625
Batch 117: loss = 0.3122236132621765, acc = 0.896484375
Batch 118: loss = 0.2901311218738556, acc = 0.9033203125
Batch 119: loss = 0.31536921858787537, acc = 0.9033203125
Batch 120: loss = 0.29420021176338196, acc = 0.89453125
Batch 121: loss = 0.2923412621021271, acc = 0.89453125
Batch 122: loss = 0.27791765332221985, acc = 0.91015625
Batch 123: loss = 0.2776792049407959, acc = 0.9033203125
Batch 124: loss = 0.3451535403728485, acc = 0.875
Batch 125: loss = 0.3325877785682678, acc = 0.8916015625
Batch 126: loss = 0.29421666264533997, acc = 0.908203125

Epoch 77/100
Batch 1: loss = 0.365023136138916, acc = 0.900390625
Batch 2: loss = 0.3511219918727875, acc = 0.8828125
Batch 3: loss = 0.3425406217575073, acc = 0.888671875
Batch 4: loss = 0.2723965644836426, acc = 0.9208984375
Batch 5: loss = 0.3458748161792755, acc = 0.8837890625
Batch 6: loss = 0.33294451236724854, acc = 0.8935546875
Batch 7: loss = 0.3170909881591797, acc = 0.8896484375
Batch 8: loss = 0.33155572414398193, acc = 0.89453125
Batch 9: loss = 0.33124953508377075, acc = 0.8876953125
Batch 10: loss = 0.28659358620643616, acc = 0.90234375
Batch 11: loss = 0.31041592359542847, acc = 0.8974609375
Batch 12: loss = 0.29700833559036255, acc = 0.888671875
Batch 13: loss = 0.26023805141448975, acc = 0.916015625
Batch 14: loss = 0.32239609956741333, acc = 0.904296875
Batch 15: loss = 0.2870491147041321, acc = 0.8994140625
Batch 16: loss = 0.29393264651298523, acc = 0.9052734375
Batch 17: loss = 0.2828509211540222, acc = 0.9072265625
Batch 18: loss = 0.32969874143600464, acc = 0.8896484375
Batch 19: loss = 0.3200136423110962, acc = 0.8857421875
Batch 20: loss = 0.30800163745880127, acc = 0.8916015625
Batch 21: loss = 0.30999627709388733, acc = 0.8955078125
Batch 22: loss = 0.29604828357696533, acc = 0.90625
Batch 23: loss = 0.3164834976196289, acc = 0.890625
Batch 24: loss = 0.3141079545021057, acc = 0.8935546875
Batch 25: loss = 0.32694536447525024, acc = 0.896484375
Batch 26: loss = 0.3173689842224121, acc = 0.896484375
Batch 27: loss = 0.36941686272621155, acc = 0.876953125
Batch 28: loss = 0.3281709849834442, acc = 0.8876953125
Batch 29: loss = 0.3490447402000427, acc = 0.875
Batch 30: loss = 0.31895890831947327, acc = 0.8916015625
Batch 31: loss = 0.3306434750556946, acc = 0.892578125
Batch 32: loss = 0.3438446521759033, acc = 0.890625
Batch 33: loss = 0.2882465124130249, acc = 0.904296875
Batch 34: loss = 0.3293597102165222, acc = 0.8818359375
Batch 35: loss = 0.2985161542892456, acc = 0.90625
Batch 36: loss = 0.27681946754455566, acc = 0.91015625
Batch 37: loss = 0.26957622170448303, acc = 0.9052734375
Batch 38: loss = 0.28619185090065, acc = 0.9033203125
Batch 39: loss = 0.276117742061615, acc = 0.904296875
Batch 40: loss = 0.290895938873291, acc = 0.90625
Batch 41: loss = 0.2721967101097107, acc = 0.9072265625
Batch 42: loss = 0.28321048617362976, acc = 0.900390625
Batch 43: loss = 0.30107563734054565, acc = 0.8935546875
Batch 44: loss = 0.2739146053791046, acc = 0.91796875
Batch 45: loss = 0.2787288427352905, acc = 0.912109375
Batch 46: loss = 0.31174811720848083, acc = 0.900390625
Batch 47: loss = 0.30012011528015137, acc = 0.8916015625
Batch 48: loss = 0.2808462977409363, acc = 0.908203125
Batch 49: loss = 0.2502029538154602, acc = 0.9150390625
Batch 50: loss = 0.2847956717014313, acc = 0.904296875
Batch 51: loss = 0.2844034433364868, acc = 0.8984375
Batch 52: loss = 0.2866024374961853, acc = 0.904296875
Batch 53: loss = 0.29562246799468994, acc = 0.9072265625
Batch 54: loss = 0.26278066635131836, acc = 0.9013671875
Batch 55: loss = 0.24914972484111786, acc = 0.919921875
Batch 56: loss = 0.2742040753364563, acc = 0.9111328125
Batch 57: loss = 0.36070626974105835, acc = 0.87109375
Batch 58: loss = 0.3126334846019745, acc = 0.8916015625
Batch 59: loss = 0.24018682539463043, acc = 0.921875
Batch 60: loss = 0.3177044093608856, acc = 0.8837890625
Batch 61: loss = 0.2716977000236511, acc = 0.9111328125
Batch 62: loss = 0.34224939346313477, acc = 0.8857421875
Batch 63: loss = 0.28568971157073975, acc = 0.90234375
Batch 64: loss = 0.27525919675827026, acc = 0.9130859375
Batch 65: loss = 0.30405721068382263, acc = 0.8955078125
Batch 66: loss = 0.2663877308368683, acc = 0.91796875
Batch 67: loss = 0.2767610251903534, acc = 0.908203125
Batch 68: loss = 0.3233293890953064, acc = 0.8857421875
Batch 69: loss = 0.2727675437927246, acc = 0.9052734375
Batch 70: loss = 0.2878170609474182, acc = 0.8994140625
Batch 71: loss = 0.3012985587120056, acc = 0.8818359375
Batch 72: loss = 0.31987905502319336, acc = 0.896484375
Batch 73: loss = 0.3192704916000366, acc = 0.8955078125
Batch 74: loss = 0.36615312099456787, acc = 0.8671875
Batch 75: loss = 0.32837048172950745, acc = 0.892578125
Batch 76: loss = 0.31870073080062866, acc = 0.892578125
Batch 77: loss = 0.2918630838394165, acc = 0.9013671875
Batch 78: loss = 0.3256610333919525, acc = 0.8935546875
Batch 79: loss = 0.31316232681274414, acc = 0.892578125
Batch 80: loss = 0.2898690104484558, acc = 0.9052734375
Batch 81: loss = 0.3009159564971924, acc = 0.9013671875
Batch 82: loss = 0.2901613116264343, acc = 0.90625
Batch 83: loss = 0.285095751285553, acc = 0.892578125
Batch 84: loss = 0.3002426028251648, acc = 0.908203125
Batch 85: loss = 0.34523165225982666, acc = 0.8828125
Batch 86: loss = 0.32815468311309814, acc = 0.8916015625
Batch 87: loss = 0.2875177264213562, acc = 0.904296875
Batch 88: loss = 0.3408176898956299, acc = 0.884765625
Batch 89: loss = 0.26801031827926636, acc = 0.90234375
Batch 90: loss = 0.33598238229751587, acc = 0.88671875
Batch 91: loss = 0.3021836280822754, acc = 0.8935546875
Batch 92: loss = 0.3258362412452698, acc = 0.890625
Batch 93: loss = 0.29491716623306274, acc = 0.904296875
Batch 94: loss = 0.26394206285476685, acc = 0.91015625
Batch 95: loss = 0.28189510107040405, acc = 0.916015625
Batch 96: loss = 0.32913273572921753, acc = 0.8798828125
Batch 97: loss = 0.28240448236465454, acc = 0.9150390625
Batch 98: loss = 0.312256395816803, acc = 0.8916015625
Batch 99: loss = 0.31244778633117676, acc = 0.8994140625
Batch 100: loss = 0.317253053188324, acc = 0.8935546875
Batch 101: loss = 0.31156593561172485, acc = 0.8935546875
Batch 102: loss = 0.297060489654541, acc = 0.892578125
Batch 103: loss = 0.2905086278915405, acc = 0.91015625
Batch 104: loss = 0.27739816904067993, acc = 0.8994140625
Batch 105: loss = 0.27179864048957825, acc = 0.9091796875
Batch 106: loss = 0.28971579670906067, acc = 0.8984375
Batch 107: loss = 0.2799736261367798, acc = 0.900390625
Batch 108: loss = 0.31173425912857056, acc = 0.888671875
Batch 109: loss = 0.28537046909332275, acc = 0.904296875
Batch 110: loss = 0.2993200421333313, acc = 0.900390625
Batch 111: loss = 0.314255952835083, acc = 0.89453125
Batch 112: loss = 0.3299635648727417, acc = 0.888671875
Batch 113: loss = 0.3143104612827301, acc = 0.8974609375
Batch 114: loss = 0.32743462920188904, acc = 0.890625
Batch 115: loss = 0.2981938421726227, acc = 0.908203125
Batch 116: loss = 0.2766419053077698, acc = 0.91796875
Batch 117: loss = 0.29345041513442993, acc = 0.900390625
Batch 118: loss = 0.2829574644565582, acc = 0.9052734375
Batch 119: loss = 0.32139259576797485, acc = 0.8955078125
Batch 120: loss = 0.25692057609558105, acc = 0.9189453125
Batch 121: loss = 0.2789752185344696, acc = 0.8994140625
Batch 122: loss = 0.25927895307540894, acc = 0.9091796875
Batch 123: loss = 0.2881752848625183, acc = 0.9033203125
Batch 124: loss = 0.3196799159049988, acc = 0.89453125
Batch 125: loss = 0.3412376642227173, acc = 0.8837890625
Batch 126: loss = 0.3335801362991333, acc = 0.8896484375

Epoch 78/100
Batch 1: loss = 0.38255801796913147, acc = 0.8896484375
Batch 2: loss = 0.35796597599983215, acc = 0.8828125
Batch 3: loss = 0.3339627981185913, acc = 0.8876953125
Batch 4: loss = 0.2988702654838562, acc = 0.90625
Batch 5: loss = 0.34161376953125, acc = 0.88671875
Batch 6: loss = 0.3221410810947418, acc = 0.9013671875
Batch 7: loss = 0.2891404926776886, acc = 0.8994140625
Batch 8: loss = 0.309855580329895, acc = 0.892578125
Batch 9: loss = 0.3202826976776123, acc = 0.8974609375
Batch 10: loss = 0.2751733958721161, acc = 0.9091796875
Batch 11: loss = 0.3014534115791321, acc = 0.896484375
Batch 12: loss = 0.3082955777645111, acc = 0.8857421875
Batch 13: loss = 0.30216607451438904, acc = 0.90234375
Batch 14: loss = 0.3000461757183075, acc = 0.9091796875
Batch 15: loss = 0.2590714693069458, acc = 0.908203125
Batch 16: loss = 0.29031041264533997, acc = 0.9013671875
Batch 17: loss = 0.30366361141204834, acc = 0.900390625
Batch 18: loss = 0.3247564435005188, acc = 0.89453125
Batch 19: loss = 0.30750659108161926, acc = 0.896484375
Batch 20: loss = 0.30823445320129395, acc = 0.892578125
Batch 21: loss = 0.3332991898059845, acc = 0.8828125
Batch 22: loss = 0.3088231086730957, acc = 0.904296875
Batch 23: loss = 0.3309139013290405, acc = 0.8876953125
Batch 24: loss = 0.29391202330589294, acc = 0.8974609375
Batch 25: loss = 0.31156665086746216, acc = 0.8974609375
Batch 26: loss = 0.2724800705909729, acc = 0.91015625
Batch 27: loss = 0.3165808618068695, acc = 0.880859375
Batch 28: loss = 0.315007746219635, acc = 0.890625
Batch 29: loss = 0.32378873229026794, acc = 0.88671875
Batch 30: loss = 0.29838696122169495, acc = 0.90234375
Batch 31: loss = 0.28660035133361816, acc = 0.908203125
Batch 32: loss = 0.3436104357242584, acc = 0.8818359375
Batch 33: loss = 0.27496424317359924, acc = 0.9208984375
Batch 34: loss = 0.3408490717411041, acc = 0.88671875
Batch 35: loss = 0.2820998728275299, acc = 0.9169921875
Batch 36: loss = 0.2673669457435608, acc = 0.9072265625
Batch 37: loss = 0.26009583473205566, acc = 0.912109375
Batch 38: loss = 0.2880251109600067, acc = 0.896484375
Batch 39: loss = 0.27154383063316345, acc = 0.900390625
Batch 40: loss = 0.3153040409088135, acc = 0.8876953125
Batch 41: loss = 0.29081371426582336, acc = 0.896484375
Batch 42: loss = 0.26333752274513245, acc = 0.9189453125
Batch 43: loss = 0.3258941173553467, acc = 0.884765625
Batch 44: loss = 0.2840135097503662, acc = 0.90625
Batch 45: loss = 0.27645939588546753, acc = 0.9072265625
Batch 46: loss = 0.27762484550476074, acc = 0.9033203125
Batch 47: loss = 0.28917455673217773, acc = 0.9013671875
Batch 48: loss = 0.2929215431213379, acc = 0.9033203125
Batch 49: loss = 0.2627379298210144, acc = 0.9091796875
Batch 50: loss = 0.2793169617652893, acc = 0.9111328125
Batch 51: loss = 0.25615477561950684, acc = 0.912109375
Batch 52: loss = 0.2939731776714325, acc = 0.892578125
Batch 53: loss = 0.2819863259792328, acc = 0.904296875
Batch 54: loss = 0.2514875829219818, acc = 0.9150390625
Batch 55: loss = 0.27343881130218506, acc = 0.9033203125
Batch 56: loss = 0.26106229424476624, acc = 0.9013671875
Batch 57: loss = 0.30812588334083557, acc = 0.8896484375
Batch 58: loss = 0.3339371681213379, acc = 0.8837890625
Batch 59: loss = 0.23368558287620544, acc = 0.9228515625
Batch 60: loss = 0.2703660726547241, acc = 0.9130859375
Batch 61: loss = 0.26700854301452637, acc = 0.9150390625
Batch 62: loss = 0.30227649211883545, acc = 0.8974609375
Batch 63: loss = 0.2777235507965088, acc = 0.90625
Batch 64: loss = 0.27144181728363037, acc = 0.9091796875
Batch 65: loss = 0.3174555003643036, acc = 0.8935546875
Batch 66: loss = 0.2802667021751404, acc = 0.9140625
Batch 67: loss = 0.27004534006118774, acc = 0.904296875
Batch 68: loss = 0.3082693815231323, acc = 0.8935546875
Batch 69: loss = 0.24344205856323242, acc = 0.9189453125
Batch 70: loss = 0.32290077209472656, acc = 0.8896484375
Batch 71: loss = 0.30677318572998047, acc = 0.89453125
Batch 72: loss = 0.3121073842048645, acc = 0.8994140625
Batch 73: loss = 0.30374157428741455, acc = 0.8974609375
Batch 74: loss = 0.31779223680496216, acc = 0.884765625
Batch 75: loss = 0.358519047498703, acc = 0.8818359375
Batch 76: loss = 0.29147177934646606, acc = 0.892578125
Batch 77: loss = 0.27044251561164856, acc = 0.9111328125
Batch 78: loss = 0.2894635498523712, acc = 0.8916015625
Batch 79: loss = 0.30836671590805054, acc = 0.892578125
Batch 80: loss = 0.26676663756370544, acc = 0.90625
Batch 81: loss = 0.2937806248664856, acc = 0.9013671875
Batch 82: loss = 0.3065555691719055, acc = 0.8857421875
Batch 83: loss = 0.28182849287986755, acc = 0.91015625
Batch 84: loss = 0.2824883759021759, acc = 0.908203125
Batch 85: loss = 0.30532532930374146, acc = 0.8916015625
Batch 86: loss = 0.3174290060997009, acc = 0.892578125
Batch 87: loss = 0.3083533048629761, acc = 0.89453125
Batch 88: loss = 0.34552913904190063, acc = 0.875
Batch 89: loss = 0.2665328085422516, acc = 0.9228515625
Batch 90: loss = 0.30104678869247437, acc = 0.8974609375
Batch 91: loss = 0.30876195430755615, acc = 0.904296875
Batch 92: loss = 0.35684072971343994, acc = 0.8828125
Batch 93: loss = 0.26023274660110474, acc = 0.9140625
Batch 94: loss = 0.29422158002853394, acc = 0.904296875
Batch 95: loss = 0.28884583711624146, acc = 0.908203125
Batch 96: loss = 0.3017098605632782, acc = 0.896484375
Batch 97: loss = 0.27458012104034424, acc = 0.91015625
Batch 98: loss = 0.3089864253997803, acc = 0.9033203125
Batch 99: loss = 0.30641621351242065, acc = 0.904296875
Batch 100: loss = 0.32868558168411255, acc = 0.900390625
Batch 101: loss = 0.3146379590034485, acc = 0.896484375
Batch 102: loss = 0.3107535243034363, acc = 0.8935546875
Batch 103: loss = 0.30380016565322876, acc = 0.8955078125
Batch 104: loss = 0.2669532299041748, acc = 0.9091796875
Batch 105: loss = 0.29056864976882935, acc = 0.90625
Batch 106: loss = 0.3087473213672638, acc = 0.8984375
Batch 107: loss = 0.28992927074432373, acc = 0.9033203125
Batch 108: loss = 0.2705197036266327, acc = 0.908203125
Batch 109: loss = 0.29963141679763794, acc = 0.8916015625
Batch 110: loss = 0.2763079106807709, acc = 0.9052734375
Batch 111: loss = 0.3080824017524719, acc = 0.89453125
Batch 112: loss = 0.2926117777824402, acc = 0.8984375
Batch 113: loss = 0.300064355134964, acc = 0.8837890625
Batch 114: loss = 0.308933824300766, acc = 0.9013671875
Batch 115: loss = 0.3164786100387573, acc = 0.8916015625
Batch 116: loss = 0.28146684169769287, acc = 0.8984375
Batch 117: loss = 0.31431350111961365, acc = 0.904296875
Batch 118: loss = 0.3016211986541748, acc = 0.9091796875
Batch 119: loss = 0.30006787180900574, acc = 0.9052734375
Batch 120: loss = 0.24815461039543152, acc = 0.9111328125
Batch 121: loss = 0.2884540259838104, acc = 0.908203125
Batch 122: loss = 0.2755725383758545, acc = 0.904296875
Batch 123: loss = 0.2943122386932373, acc = 0.90625
Batch 124: loss = 0.3211132884025574, acc = 0.8916015625
Batch 125: loss = 0.31774961948394775, acc = 0.89453125
Batch 126: loss = 0.34349948167800903, acc = 0.8818359375

Epoch 79/100
Batch 1: loss = 0.38130858540534973, acc = 0.8828125
Batch 2: loss = 0.313586950302124, acc = 0.8896484375
Batch 3: loss = 0.3224491477012634, acc = 0.8974609375
Batch 4: loss = 0.28450679779052734, acc = 0.908203125
Batch 5: loss = 0.3134417235851288, acc = 0.896484375
Batch 6: loss = 0.2916143238544464, acc = 0.9013671875
Batch 7: loss = 0.33747369050979614, acc = 0.884765625
Batch 8: loss = 0.3110075891017914, acc = 0.9033203125
Batch 9: loss = 0.31990110874176025, acc = 0.8916015625
Batch 10: loss = 0.28032487630844116, acc = 0.90234375
Batch 11: loss = 0.2832763195037842, acc = 0.900390625
Batch 12: loss = 0.25689250230789185, acc = 0.9169921875
Batch 13: loss = 0.27103209495544434, acc = 0.91015625
Batch 14: loss = 0.285750150680542, acc = 0.9072265625
Batch 15: loss = 0.26601964235305786, acc = 0.9091796875
Batch 16: loss = 0.28676149249076843, acc = 0.89453125
Batch 17: loss = 0.32280370593070984, acc = 0.8935546875
Batch 18: loss = 0.3111284375190735, acc = 0.8935546875
Batch 19: loss = 0.32868731021881104, acc = 0.8935546875
Batch 20: loss = 0.29290658235549927, acc = 0.91015625
Batch 21: loss = 0.3097253441810608, acc = 0.8955078125
Batch 22: loss = 0.2940410375595093, acc = 0.89453125
Batch 23: loss = 0.32747554779052734, acc = 0.8916015625
Batch 24: loss = 0.28609374165534973, acc = 0.9013671875
Batch 25: loss = 0.34155941009521484, acc = 0.8916015625
Batch 26: loss = 0.28638461232185364, acc = 0.9013671875
Batch 27: loss = 0.30710163712501526, acc = 0.90234375
Batch 28: loss = 0.3030647039413452, acc = 0.904296875
Batch 29: loss = 0.3101893663406372, acc = 0.896484375
Batch 30: loss = 0.27899783849716187, acc = 0.9091796875
Batch 31: loss = 0.31185245513916016, acc = 0.890625
Batch 32: loss = 0.30097901821136475, acc = 0.892578125
Batch 33: loss = 0.2759546935558319, acc = 0.904296875
Batch 34: loss = 0.32445618510246277, acc = 0.896484375
Batch 35: loss = 0.2780783176422119, acc = 0.904296875
Batch 36: loss = 0.26977503299713135, acc = 0.9169921875
Batch 37: loss = 0.2693440020084381, acc = 0.91796875
Batch 38: loss = 0.2749308943748474, acc = 0.8984375
Batch 39: loss = 0.27736666798591614, acc = 0.9091796875
Batch 40: loss = 0.2789837121963501, acc = 0.90234375
Batch 41: loss = 0.2860267162322998, acc = 0.8974609375
Batch 42: loss = 0.2665957808494568, acc = 0.91015625
Batch 43: loss = 0.29238229990005493, acc = 0.8955078125
Batch 44: loss = 0.2729770541191101, acc = 0.9091796875
Batch 45: loss = 0.2953093945980072, acc = 0.8974609375
Batch 46: loss = 0.2737368047237396, acc = 0.9150390625
Batch 47: loss = 0.2870056927204132, acc = 0.908203125
Batch 48: loss = 0.2673080265522003, acc = 0.90625
Batch 49: loss = 0.254587322473526, acc = 0.9150390625
Batch 50: loss = 0.3264758586883545, acc = 0.8935546875
Batch 51: loss = 0.27934300899505615, acc = 0.90234375
Batch 52: loss = 0.2951698899269104, acc = 0.900390625
Batch 53: loss = 0.29364699125289917, acc = 0.8994140625
Batch 54: loss = 0.22274255752563477, acc = 0.9345703125
Batch 55: loss = 0.25407177209854126, acc = 0.916015625
Batch 56: loss = 0.2938847243785858, acc = 0.9013671875
Batch 57: loss = 0.3236887454986572, acc = 0.8779296875
Batch 58: loss = 0.278083860874176, acc = 0.904296875
Batch 59: loss = 0.23280781507492065, acc = 0.9267578125
Batch 60: loss = 0.31532999873161316, acc = 0.8984375
Batch 61: loss = 0.2523958086967468, acc = 0.9140625
Batch 62: loss = 0.31586337089538574, acc = 0.8955078125
Batch 63: loss = 0.29689085483551025, acc = 0.9052734375
Batch 64: loss = 0.26473355293273926, acc = 0.9169921875
Batch 65: loss = 0.28433626890182495, acc = 0.900390625
Batch 66: loss = 0.3166896104812622, acc = 0.888671875
Batch 67: loss = 0.26137635111808777, acc = 0.9130859375
Batch 68: loss = 0.3020327091217041, acc = 0.888671875
Batch 69: loss = 0.2619648277759552, acc = 0.91015625
Batch 70: loss = 0.3165450394153595, acc = 0.896484375
Batch 71: loss = 0.3067812919616699, acc = 0.8974609375
Batch 72: loss = 0.2918633818626404, acc = 0.90625
Batch 73: loss = 0.32217034697532654, acc = 0.888671875
Batch 74: loss = 0.3111942410469055, acc = 0.892578125
Batch 75: loss = 0.3239727020263672, acc = 0.8955078125
Batch 76: loss = 0.30500268936157227, acc = 0.8935546875
Batch 77: loss = 0.28205326199531555, acc = 0.9072265625
Batch 78: loss = 0.32104727625846863, acc = 0.890625
Batch 79: loss = 0.286871075630188, acc = 0.9013671875
Batch 80: loss = 0.2873457074165344, acc = 0.8876953125
Batch 81: loss = 0.28394272923469543, acc = 0.900390625
Batch 82: loss = 0.28195837140083313, acc = 0.9013671875
Batch 83: loss = 0.2948073744773865, acc = 0.888671875
Batch 84: loss = 0.28026795387268066, acc = 0.912109375
Batch 85: loss = 0.33696722984313965, acc = 0.8828125
Batch 86: loss = 0.3165140748023987, acc = 0.89453125
Batch 87: loss = 0.3115639090538025, acc = 0.888671875
Batch 88: loss = 0.35368645191192627, acc = 0.8837890625
Batch 89: loss = 0.3125462234020233, acc = 0.904296875
Batch 90: loss = 0.28910356760025024, acc = 0.896484375
Batch 91: loss = 0.32009321451187134, acc = 0.896484375
Batch 92: loss = 0.3322846293449402, acc = 0.8798828125
Batch 93: loss = 0.2575330138206482, acc = 0.91796875
Batch 94: loss = 0.2595934271812439, acc = 0.90234375
Batch 95: loss = 0.25505903363227844, acc = 0.90234375
Batch 96: loss = 0.3517974019050598, acc = 0.876953125
Batch 97: loss = 0.2915186285972595, acc = 0.9013671875
Batch 98: loss = 0.3014165163040161, acc = 0.904296875
Batch 99: loss = 0.3018406927585602, acc = 0.904296875
Batch 100: loss = 0.29394710063934326, acc = 0.900390625
Batch 101: loss = 0.29661643505096436, acc = 0.8935546875
Batch 102: loss = 0.2644564211368561, acc = 0.9052734375
Batch 103: loss = 0.3113713264465332, acc = 0.888671875
Batch 104: loss = 0.2570209503173828, acc = 0.9140625
Batch 105: loss = 0.2491990029811859, acc = 0.9169921875
Batch 106: loss = 0.3064224123954773, acc = 0.8955078125
Batch 107: loss = 0.2796122431755066, acc = 0.908203125
Batch 108: loss = 0.2886711359024048, acc = 0.9052734375
Batch 109: loss = 0.27907896041870117, acc = 0.90625
Batch 110: loss = 0.2682946026325226, acc = 0.908203125
Batch 111: loss = 0.30520689487457275, acc = 0.8955078125
Batch 112: loss = 0.28069868683815, acc = 0.9140625
Batch 113: loss = 0.3028180003166199, acc = 0.904296875
Batch 114: loss = 0.3251267075538635, acc = 0.880859375
Batch 115: loss = 0.2796880006790161, acc = 0.9033203125
Batch 116: loss = 0.3061707019805908, acc = 0.900390625
Batch 117: loss = 0.30788400769233704, acc = 0.892578125
Batch 118: loss = 0.26370692253112793, acc = 0.904296875
Batch 119: loss = 0.28569725155830383, acc = 0.90625
Batch 120: loss = 0.25691694021224976, acc = 0.9248046875
Batch 121: loss = 0.31333693861961365, acc = 0.8896484375
Batch 122: loss = 0.27561095356941223, acc = 0.9033203125
Batch 123: loss = 0.2721022367477417, acc = 0.91015625
Batch 124: loss = 0.3418862819671631, acc = 0.8857421875
Batch 125: loss = 0.2935197651386261, acc = 0.896484375
Batch 126: loss = 0.293512761592865, acc = 0.90234375

Epoch 80/100
Batch 1: loss = 0.39078986644744873, acc = 0.8828125
Batch 2: loss = 0.29120850563049316, acc = 0.892578125
Batch 3: loss = 0.29013869166374207, acc = 0.9072265625
Batch 4: loss = 0.28567439317703247, acc = 0.9033203125
Batch 5: loss = 0.3108767867088318, acc = 0.896484375
Batch 6: loss = 0.31162896752357483, acc = 0.892578125
Batch 7: loss = 0.29112425446510315, acc = 0.90234375
Batch 8: loss = 0.33074671030044556, acc = 0.9013671875
Batch 9: loss = 0.3025176525115967, acc = 0.90234375
Batch 10: loss = 0.2845417261123657, acc = 0.9013671875
Batch 11: loss = 0.295113205909729, acc = 0.8994140625
Batch 12: loss = 0.2732376456260681, acc = 0.9072265625
Batch 13: loss = 0.26970577239990234, acc = 0.9033203125
Batch 14: loss = 0.30002838373184204, acc = 0.9052734375
Batch 15: loss = 0.2653495669364929, acc = 0.9013671875
Batch 16: loss = 0.2728123068809509, acc = 0.9033203125
Batch 17: loss = 0.29364049434661865, acc = 0.8984375
Batch 18: loss = 0.3238072395324707, acc = 0.9033203125
Batch 19: loss = 0.2843788266181946, acc = 0.9072265625
Batch 20: loss = 0.29374265670776367, acc = 0.90625
Batch 21: loss = 0.2962891459465027, acc = 0.908203125
Batch 22: loss = 0.29645633697509766, acc = 0.8984375
Batch 23: loss = 0.32861194014549255, acc = 0.89453125
Batch 24: loss = 0.2738563120365143, acc = 0.9130859375
Batch 25: loss = 0.2968869209289551, acc = 0.8994140625
Batch 26: loss = 0.2748212516307831, acc = 0.9033203125
Batch 27: loss = 0.29407286643981934, acc = 0.90234375
Batch 28: loss = 0.3240993618965149, acc = 0.8896484375
Batch 29: loss = 0.2996767461299896, acc = 0.90625
Batch 30: loss = 0.2920747697353363, acc = 0.9052734375
Batch 31: loss = 0.2734915018081665, acc = 0.9091796875
Batch 32: loss = 0.36370253562927246, acc = 0.875
Batch 33: loss = 0.2772969603538513, acc = 0.90234375
Batch 34: loss = 0.2731594145298004, acc = 0.9052734375
Batch 35: loss = 0.3089177906513214, acc = 0.90234375
Batch 36: loss = 0.26884981989860535, acc = 0.90234375
Batch 37: loss = 0.26369842886924744, acc = 0.9091796875
Batch 38: loss = 0.2503094971179962, acc = 0.9189453125
Batch 39: loss = 0.23782572150230408, acc = 0.9150390625
Batch 40: loss = 0.25995463132858276, acc = 0.9130859375
Batch 41: loss = 0.2639504075050354, acc = 0.912109375
Batch 42: loss = 0.25569960474967957, acc = 0.912109375
Batch 43: loss = 0.2907794117927551, acc = 0.8984375
Batch 44: loss = 0.2393123209476471, acc = 0.921875
Batch 45: loss = 0.2648214101791382, acc = 0.912109375
Batch 46: loss = 0.243097722530365, acc = 0.90625
Batch 47: loss = 0.2612118721008301, acc = 0.9189453125
Batch 48: loss = 0.238945871591568, acc = 0.9140625
Batch 49: loss = 0.27464964985847473, acc = 0.904296875
Batch 50: loss = 0.2910310924053192, acc = 0.9072265625
Batch 51: loss = 0.27583906054496765, acc = 0.9130859375
Batch 52: loss = 0.27935105562210083, acc = 0.9111328125
Batch 53: loss = 0.290269672870636, acc = 0.90625
Batch 54: loss = 0.24698247015476227, acc = 0.9169921875
Batch 55: loss = 0.2529412508010864, acc = 0.9130859375
Batch 56: loss = 0.2917982339859009, acc = 0.8984375
Batch 57: loss = 0.3196817934513092, acc = 0.884765625
Batch 58: loss = 0.3179900348186493, acc = 0.8974609375
Batch 59: loss = 0.24224667251110077, acc = 0.9111328125
Batch 60: loss = 0.27822452783584595, acc = 0.9150390625
Batch 61: loss = 0.2560819685459137, acc = 0.9111328125
Batch 62: loss = 0.31186455488204956, acc = 0.8896484375
Batch 63: loss = 0.26912543177604675, acc = 0.9072265625
Batch 64: loss = 0.27117061614990234, acc = 0.896484375
Batch 65: loss = 0.293283075094223, acc = 0.9072265625
Batch 66: loss = 0.29017284512519836, acc = 0.8994140625
Batch 67: loss = 0.26416048407554626, acc = 0.9169921875
Batch 68: loss = 0.29615625739097595, acc = 0.8955078125
Batch 69: loss = 0.2469647377729416, acc = 0.9169921875
Batch 70: loss = 0.3045614957809448, acc = 0.8984375
Batch 71: loss = 0.30552735924720764, acc = 0.8935546875
Batch 72: loss = 0.2742798924446106, acc = 0.916015625
Batch 73: loss = 0.29866817593574524, acc = 0.8935546875
Batch 74: loss = 0.26777327060699463, acc = 0.9072265625
Batch 75: loss = 0.3468967080116272, acc = 0.876953125
Batch 76: loss = 0.35169440507888794, acc = 0.884765625
Batch 77: loss = 0.25914567708969116, acc = 0.90625
Batch 78: loss = 0.30692747235298157, acc = 0.892578125
Batch 79: loss = 0.27627235651016235, acc = 0.9052734375
Batch 80: loss = 0.26705202460289, acc = 0.90234375
Batch 81: loss = 0.3009381592273712, acc = 0.8994140625
Batch 82: loss = 0.2881919741630554, acc = 0.8994140625
Batch 83: loss = 0.27183961868286133, acc = 0.91015625
Batch 84: loss = 0.29878973960876465, acc = 0.9072265625
Batch 85: loss = 0.33160901069641113, acc = 0.884765625
Batch 86: loss = 0.2993848919868469, acc = 0.8984375
Batch 87: loss = 0.30284780263900757, acc = 0.9033203125
Batch 88: loss = 0.3424645662307739, acc = 0.888671875
Batch 89: loss = 0.29292476177215576, acc = 0.8974609375
Batch 90: loss = 0.2889364957809448, acc = 0.9013671875
Batch 91: loss = 0.2936773896217346, acc = 0.8955078125
Batch 92: loss = 0.3345024585723877, acc = 0.8896484375
Batch 93: loss = 0.28660741448402405, acc = 0.9052734375
Batch 94: loss = 0.2528653144836426, acc = 0.916015625
Batch 95: loss = 0.2516906261444092, acc = 0.91796875
Batch 96: loss = 0.31681403517723083, acc = 0.890625
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Batch 98: loss = 0.3041191101074219, acc = 0.8974609375
Batch 99: loss = 0.28860706090927124, acc = 0.892578125
Batch 100: loss = 0.3132103383541107, acc = 0.8984375
Batch 101: loss = 0.2973533868789673, acc = 0.89453125
Batch 102: loss = 0.28588271141052246, acc = 0.8984375
Batch 103: loss = 0.29249149560928345, acc = 0.900390625
Batch 104: loss = 0.25389885902404785, acc = 0.9091796875
Batch 105: loss = 0.2810514569282532, acc = 0.9091796875
Batch 106: loss = 0.2765255570411682, acc = 0.8935546875
Batch 107: loss = 0.25672614574432373, acc = 0.919921875
Batch 108: loss = 0.24754838645458221, acc = 0.916015625
Batch 109: loss = 0.27555185556411743, acc = 0.916015625
Batch 110: loss = 0.2514446973800659, acc = 0.9287109375
Batch 111: loss = 0.3247848153114319, acc = 0.892578125
Batch 112: loss = 0.3047584295272827, acc = 0.8955078125
Batch 113: loss = 0.2877224087715149, acc = 0.8994140625
Batch 114: loss = 0.3161722719669342, acc = 0.904296875
Batch 115: loss = 0.2824893295764923, acc = 0.900390625
Batch 116: loss = 0.30209213495254517, acc = 0.8896484375
Batch 117: loss = 0.30567091703414917, acc = 0.892578125
Batch 118: loss = 0.26496249437332153, acc = 0.9033203125
Batch 119: loss = 0.29197677969932556, acc = 0.9013671875
Batch 120: loss = 0.2447413206100464, acc = 0.919921875
Batch 121: loss = 0.25164029002189636, acc = 0.9169921875
Batch 122: loss = 0.29887855052948, acc = 0.8955078125
Batch 123: loss = 0.2866186499595642, acc = 0.89453125
Batch 124: loss = 0.3081647753715515, acc = 0.8955078125
Batch 125: loss = 0.30364519357681274, acc = 0.89453125
Batch 126: loss = 0.31854701042175293, acc = 0.8974609375
Saved checkpoint to weights.80.h5

Epoch 81/100
Batch 1: loss = 0.37208399176597595, acc = 0.8916015625
Batch 2: loss = 0.33908358216285706, acc = 0.8857421875
Batch 3: loss = 0.3004511594772339, acc = 0.9052734375
Batch 4: loss = 0.2967234253883362, acc = 0.9052734375
Batch 5: loss = 0.2846393883228302, acc = 0.9052734375
Batch 6: loss = 0.2841675579547882, acc = 0.9052734375
Batch 7: loss = 0.30403661727905273, acc = 0.888671875
Batch 8: loss = 0.31478625535964966, acc = 0.8994140625
Batch 9: loss = 0.27023646235466003, acc = 0.908203125
Batch 10: loss = 0.2698957920074463, acc = 0.9052734375
Batch 11: loss = 0.29593902826309204, acc = 0.896484375
Batch 12: loss = 0.30098670721054077, acc = 0.8955078125
Batch 13: loss = 0.3072824478149414, acc = 0.8994140625
Batch 14: loss = 0.2637244462966919, acc = 0.9130859375
Batch 15: loss = 0.2597073018550873, acc = 0.9013671875
Batch 16: loss = 0.28151652216911316, acc = 0.9013671875
Batch 17: loss = 0.2902354598045349, acc = 0.9013671875
Batch 18: loss = 0.3022177219390869, acc = 0.8984375
Batch 19: loss = 0.2940030097961426, acc = 0.90234375
Batch 20: loss = 0.2586420178413391, acc = 0.91015625
Batch 21: loss = 0.2757123112678528, acc = 0.90234375
Batch 22: loss = 0.26449868083000183, acc = 0.9140625
Batch 23: loss = 0.3663412034511566, acc = 0.869140625
Batch 24: loss = 0.2974463999271393, acc = 0.90234375
Batch 25: loss = 0.2956944704055786, acc = 0.9052734375
Batch 26: loss = 0.2577136754989624, acc = 0.90625
Batch 27: loss = 0.3064440190792084, acc = 0.88671875
Batch 28: loss = 0.32591959834098816, acc = 0.89453125
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Batch 30: loss = 0.30887266993522644, acc = 0.9013671875
Batch 31: loss = 0.3058786392211914, acc = 0.888671875
Batch 32: loss = 0.3326267600059509, acc = 0.892578125
Batch 33: loss = 0.26610416173934937, acc = 0.91015625
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Batch 35: loss = 0.3113107681274414, acc = 0.9033203125
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Batch 38: loss = 0.275260329246521, acc = 0.9072265625
Batch 39: loss = 0.31456270813941956, acc = 0.8935546875
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Batch 46: loss = 0.24218109250068665, acc = 0.921875
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Batch 48: loss = 0.26224660873413086, acc = 0.9052734375
Batch 49: loss = 0.2708686292171478, acc = 0.91796875
Batch 50: loss = 0.2753586173057556, acc = 0.904296875
Batch 51: loss = 0.2909325361251831, acc = 0.9091796875
Batch 52: loss = 0.28361976146698, acc = 0.9072265625
Batch 53: loss = 0.312122642993927, acc = 0.904296875
Batch 54: loss = 0.24377858638763428, acc = 0.91796875
Batch 55: loss = 0.2611137330532074, acc = 0.9150390625
Batch 56: loss = 0.27145105600357056, acc = 0.8935546875
Batch 57: loss = 0.32542335987091064, acc = 0.888671875
Batch 58: loss = 0.3072490692138672, acc = 0.8916015625
Batch 59: loss = 0.2408851832151413, acc = 0.919921875
Batch 60: loss = 0.26516351103782654, acc = 0.9150390625
Batch 61: loss = 0.28814277052879333, acc = 0.9033203125
Batch 62: loss = 0.3064735233783722, acc = 0.8994140625
Batch 63: loss = 0.2871307134628296, acc = 0.90234375
Batch 64: loss = 0.2607569396495819, acc = 0.91015625
Batch 65: loss = 0.29431629180908203, acc = 0.9013671875
Batch 66: loss = 0.3110867142677307, acc = 0.896484375
Batch 67: loss = 0.2942357361316681, acc = 0.896484375
Batch 68: loss = 0.27353423833847046, acc = 0.9091796875
Batch 69: loss = 0.22356349229812622, acc = 0.931640625
Batch 70: loss = 0.32966113090515137, acc = 0.88671875
Batch 71: loss = 0.32907673716545105, acc = 0.890625
Batch 72: loss = 0.26357412338256836, acc = 0.912109375
Batch 73: loss = 0.30150049924850464, acc = 0.8974609375
Batch 74: loss = 0.3103974163532257, acc = 0.890625
Batch 75: loss = 0.35216888785362244, acc = 0.892578125
Batch 76: loss = 0.3559730648994446, acc = 0.875
Batch 77: loss = 0.2666754722595215, acc = 0.916015625
Batch 78: loss = 0.2858462333679199, acc = 0.896484375
Batch 79: loss = 0.28143811225891113, acc = 0.9033203125
Batch 80: loss = 0.2971813678741455, acc = 0.8916015625
Batch 81: loss = 0.2702708840370178, acc = 0.900390625
Batch 82: loss = 0.2909439206123352, acc = 0.9033203125
Batch 83: loss = 0.30791717767715454, acc = 0.8916015625
Batch 84: loss = 0.29150891304016113, acc = 0.8974609375
Batch 85: loss = 0.29726558923721313, acc = 0.8974609375
Batch 86: loss = 0.3009694218635559, acc = 0.904296875
Batch 87: loss = 0.31138288974761963, acc = 0.8984375
Batch 88: loss = 0.33466655015945435, acc = 0.8759765625
Batch 89: loss = 0.32085099816322327, acc = 0.8984375
Batch 90: loss = 0.30592894554138184, acc = 0.89453125
Batch 91: loss = 0.2962297201156616, acc = 0.88671875
Batch 92: loss = 0.30691808462142944, acc = 0.904296875
Batch 93: loss = 0.27190715074539185, acc = 0.9140625
Batch 94: loss = 0.2699028253555298, acc = 0.8994140625
Batch 95: loss = 0.2480785995721817, acc = 0.9189453125
Batch 96: loss = 0.3008461594581604, acc = 0.888671875
Batch 97: loss = 0.3083706498146057, acc = 0.89453125
Batch 98: loss = 0.2795995771884918, acc = 0.916015625
Batch 99: loss = 0.29038313031196594, acc = 0.9033203125
Batch 100: loss = 0.2882980406284332, acc = 0.9033203125
Batch 101: loss = 0.29664522409439087, acc = 0.88671875
Batch 102: loss = 0.28854021430015564, acc = 0.904296875
Batch 103: loss = 0.30413442850112915, acc = 0.8955078125
Batch 104: loss = 0.2631371021270752, acc = 0.91015625
Batch 105: loss = 0.21920782327651978, acc = 0.93359375
Batch 106: loss = 0.26877427101135254, acc = 0.9091796875
Batch 107: loss = 0.2745514214038849, acc = 0.9013671875
Batch 108: loss = 0.24821171164512634, acc = 0.916015625
Batch 109: loss = 0.29132866859436035, acc = 0.9072265625
Batch 110: loss = 0.26442062854766846, acc = 0.91015625
Batch 111: loss = 0.25748130679130554, acc = 0.9189453125
Batch 112: loss = 0.30094194412231445, acc = 0.8935546875
Batch 113: loss = 0.2963573634624481, acc = 0.9013671875
Batch 114: loss = 0.3114079535007477, acc = 0.8916015625
Batch 115: loss = 0.30461955070495605, acc = 0.8984375
Batch 116: loss = 0.2922830879688263, acc = 0.8984375
Batch 117: loss = 0.28871482610702515, acc = 0.90234375
Batch 118: loss = 0.2838851809501648, acc = 0.9052734375
Batch 119: loss = 0.2825855612754822, acc = 0.9013671875
Batch 120: loss = 0.27106773853302, acc = 0.9140625
Batch 121: loss = 0.29866206645965576, acc = 0.8955078125
Batch 122: loss = 0.30999433994293213, acc = 0.890625
Batch 123: loss = 0.29054033756256104, acc = 0.9013671875
Batch 124: loss = 0.2856428623199463, acc = 0.904296875
Batch 125: loss = 0.3092026114463806, acc = 0.900390625
Batch 126: loss = 0.30007049441337585, acc = 0.8984375

Epoch 82/100
Batch 1: loss = 0.3601069152355194, acc = 0.8876953125
Batch 2: loss = 0.2992328405380249, acc = 0.892578125
Batch 3: loss = 0.3352630138397217, acc = 0.8798828125
Batch 4: loss = 0.2647744417190552, acc = 0.9111328125
Batch 5: loss = 0.2935023307800293, acc = 0.896484375
Batch 6: loss = 0.32989615201950073, acc = 0.896484375
Batch 7: loss = 0.3006921410560608, acc = 0.8935546875
Batch 8: loss = 0.30584031343460083, acc = 0.8916015625
Batch 9: loss = 0.28668829798698425, acc = 0.9033203125
Batch 10: loss = 0.25651371479034424, acc = 0.908203125
Batch 11: loss = 0.2702501118183136, acc = 0.90625
Batch 12: loss = 0.29012802243232727, acc = 0.9072265625
Batch 13: loss = 0.27986836433410645, acc = 0.8974609375
Batch 14: loss = 0.2873581647872925, acc = 0.892578125
Batch 15: loss = 0.26351723074913025, acc = 0.904296875
Batch 16: loss = 0.2686016857624054, acc = 0.9140625
Batch 17: loss = 0.29950252175331116, acc = 0.900390625
Batch 18: loss = 0.3172410726547241, acc = 0.880859375
Batch 19: loss = 0.33317530155181885, acc = 0.892578125
Batch 20: loss = 0.2819465398788452, acc = 0.8994140625
Batch 21: loss = 0.3298354744911194, acc = 0.8935546875
Batch 22: loss = 0.27108943462371826, acc = 0.9169921875
Batch 23: loss = 0.3012836277484894, acc = 0.908203125
Batch 24: loss = 0.2798912525177002, acc = 0.9013671875
Batch 25: loss = 0.2922471761703491, acc = 0.9228515625
Batch 26: loss = 0.2870577573776245, acc = 0.900390625
Batch 27: loss = 0.32127100229263306, acc = 0.8876953125
Batch 28: loss = 0.3214918375015259, acc = 0.88671875
Batch 29: loss = 0.32195764780044556, acc = 0.884765625
Batch 30: loss = 0.29534655809402466, acc = 0.8955078125
Batch 31: loss = 0.2819341719150543, acc = 0.9052734375
Batch 32: loss = 0.3256705403327942, acc = 0.875
Batch 33: loss = 0.2730846107006073, acc = 0.9033203125
Batch 34: loss = 0.28713035583496094, acc = 0.892578125
Batch 35: loss = 0.2726428210735321, acc = 0.9033203125
Batch 36: loss = 0.22308285534381866, acc = 0.919921875
Batch 37: loss = 0.28890806436538696, acc = 0.90625
Batch 38: loss = 0.2890186905860901, acc = 0.904296875
Batch 39: loss = 0.26518064737319946, acc = 0.9091796875
Batch 40: loss = 0.2954723834991455, acc = 0.904296875
Batch 41: loss = 0.27054324746131897, acc = 0.8974609375
Batch 42: loss = 0.2584061920642853, acc = 0.9189453125
Batch 43: loss = 0.2983289957046509, acc = 0.904296875
Batch 44: loss = 0.2774255871772766, acc = 0.904296875
Batch 45: loss = 0.2837621867656708, acc = 0.9072265625
Batch 46: loss = 0.23487405478954315, acc = 0.919921875
Batch 47: loss = 0.2713003158569336, acc = 0.9072265625
Batch 48: loss = 0.29518282413482666, acc = 0.8974609375
Batch 49: loss = 0.2639591693878174, acc = 0.9169921875
Batch 50: loss = 0.2783285677433014, acc = 0.90234375
Batch 51: loss = 0.2840573191642761, acc = 0.900390625
Batch 52: loss = 0.2863055467605591, acc = 0.90625
Batch 53: loss = 0.255963534116745, acc = 0.9150390625
Batch 54: loss = 0.22435155510902405, acc = 0.9169921875
Batch 55: loss = 0.24064196646213531, acc = 0.9228515625
Batch 56: loss = 0.2583860754966736, acc = 0.91015625
Batch 57: loss = 0.32230284810066223, acc = 0.884765625
Batch 58: loss = 0.297564297914505, acc = 0.9013671875
Batch 59: loss = 0.2111295461654663, acc = 0.9326171875
Batch 60: loss = 0.30814868211746216, acc = 0.9033203125
Batch 61: loss = 0.30042794346809387, acc = 0.90625
Batch 62: loss = 0.2863672375679016, acc = 0.8984375
Batch 63: loss = 0.3164243698120117, acc = 0.8974609375
Batch 64: loss = 0.2642742395401001, acc = 0.9091796875
Batch 65: loss = 0.27980971336364746, acc = 0.9033203125
Batch 66: loss = 0.2880278527736664, acc = 0.9033203125
Batch 67: loss = 0.32460325956344604, acc = 0.888671875
Batch 68: loss = 0.24453255534172058, acc = 0.919921875
Batch 69: loss = 0.2522711157798767, acc = 0.921875
Batch 70: loss = 0.2928283214569092, acc = 0.9072265625
Batch 71: loss = 0.2694167494773865, acc = 0.90625
Batch 72: loss = 0.2802107334136963, acc = 0.9072265625
Batch 73: loss = 0.3123597204685211, acc = 0.8955078125
Batch 74: loss = 0.3087417483329773, acc = 0.8876953125
Batch 75: loss = 0.31245797872543335, acc = 0.890625
Batch 76: loss = 0.27634912729263306, acc = 0.908203125
Batch 77: loss = 0.30293259024620056, acc = 0.8935546875
Batch 78: loss = 0.2880539894104004, acc = 0.90234375
Batch 79: loss = 0.27401649951934814, acc = 0.91015625
Batch 80: loss = 0.2694399952888489, acc = 0.9052734375
Batch 81: loss = 0.3165472745895386, acc = 0.884765625
Batch 82: loss = 0.30418574810028076, acc = 0.8955078125
Batch 83: loss = 0.25024646520614624, acc = 0.9189453125
Batch 84: loss = 0.2931544780731201, acc = 0.8984375
Batch 85: loss = 0.31095975637435913, acc = 0.880859375
Batch 86: loss = 0.291390597820282, acc = 0.9033203125
Batch 87: loss = 0.29059213399887085, acc = 0.8935546875
Batch 88: loss = 0.3523644208908081, acc = 0.8837890625
Batch 89: loss = 0.2755601108074188, acc = 0.908203125
Batch 90: loss = 0.2873770594596863, acc = 0.8935546875
Batch 91: loss = 0.266727089881897, acc = 0.9111328125
Batch 92: loss = 0.2977355420589447, acc = 0.9013671875
Batch 93: loss = 0.29606086015701294, acc = 0.8994140625
Batch 94: loss = 0.2793091833591461, acc = 0.90234375
Batch 95: loss = 0.25771793723106384, acc = 0.91015625
Batch 96: loss = 0.29212304949760437, acc = 0.9072265625
Batch 97: loss = 0.2913503050804138, acc = 0.9013671875
Batch 98: loss = 0.2750875949859619, acc = 0.90625
Batch 99: loss = 0.2808604836463928, acc = 0.9033203125
Batch 100: loss = 0.3139752149581909, acc = 0.8974609375
Batch 101: loss = 0.25386667251586914, acc = 0.9169921875
Batch 102: loss = 0.3166440725326538, acc = 0.8916015625
Batch 103: loss = 0.3064950108528137, acc = 0.892578125
Batch 104: loss = 0.27074551582336426, acc = 0.90625
Batch 105: loss = 0.2476889193058014, acc = 0.912109375
Batch 106: loss = 0.3031078577041626, acc = 0.892578125
Batch 107: loss = 0.26386386156082153, acc = 0.912109375
Batch 108: loss = 0.28049981594085693, acc = 0.9033203125
Batch 109: loss = 0.2848767042160034, acc = 0.8876953125
Batch 110: loss = 0.27178794145584106, acc = 0.90234375
Batch 111: loss = 0.32927656173706055, acc = 0.88671875
Batch 112: loss = 0.28374359011650085, acc = 0.904296875
Batch 113: loss = 0.2746223211288452, acc = 0.9091796875
Batch 114: loss = 0.2840646803379059, acc = 0.8974609375
Batch 115: loss = 0.28747087717056274, acc = 0.908203125
Batch 116: loss = 0.2900140881538391, acc = 0.90234375
Batch 117: loss = 0.2682458758354187, acc = 0.90625
Batch 118: loss = 0.2699652910232544, acc = 0.90625
Batch 119: loss = 0.26753851771354675, acc = 0.91796875
Batch 120: loss = 0.3110783100128174, acc = 0.8994140625
Batch 121: loss = 0.26699763536453247, acc = 0.9013671875
Batch 122: loss = 0.2795833349227905, acc = 0.900390625
Batch 123: loss = 0.30537712574005127, acc = 0.896484375
Batch 124: loss = 0.3512672185897827, acc = 0.8759765625
Batch 125: loss = 0.3171882629394531, acc = 0.90234375
Batch 126: loss = 0.3122475743293762, acc = 0.89453125

Epoch 83/100
Batch 1: loss = 0.37891554832458496, acc = 0.869140625
Batch 2: loss = 0.3074657917022705, acc = 0.8974609375
Batch 3: loss = 0.3091157078742981, acc = 0.8974609375
Batch 4: loss = 0.2808360457420349, acc = 0.9150390625
Batch 5: loss = 0.282939076423645, acc = 0.9150390625
Batch 6: loss = 0.33932384848594666, acc = 0.884765625
Batch 7: loss = 0.28053829073905945, acc = 0.90234375
Batch 8: loss = 0.2892332971096039, acc = 0.9013671875
Batch 9: loss = 0.31393617391586304, acc = 0.9033203125
Batch 10: loss = 0.2261662483215332, acc = 0.9189453125
Batch 11: loss = 0.33229726552963257, acc = 0.8837890625
Batch 12: loss = 0.2680068016052246, acc = 0.908203125
Batch 13: loss = 0.2659178376197815, acc = 0.9072265625
Batch 14: loss = 0.2991403341293335, acc = 0.912109375
Batch 15: loss = 0.25718557834625244, acc = 0.916015625
Batch 16: loss = 0.28385549783706665, acc = 0.9052734375
Batch 17: loss = 0.2872634828090668, acc = 0.904296875
Batch 18: loss = 0.291898638010025, acc = 0.8984375
Batch 19: loss = 0.3330574631690979, acc = 0.884765625
Batch 20: loss = 0.2925882339477539, acc = 0.8984375
Batch 21: loss = 0.29751622676849365, acc = 0.8984375
Batch 22: loss = 0.2604480981826782, acc = 0.9208984375
Batch 23: loss = 0.29884910583496094, acc = 0.90234375
Batch 24: loss = 0.25434234738349915, acc = 0.912109375
Batch 25: loss = 0.317979633808136, acc = 0.890625
Batch 26: loss = 0.284856379032135, acc = 0.91015625
Batch 27: loss = 0.30315905809402466, acc = 0.896484375
Batch 28: loss = 0.3121718764305115, acc = 0.8974609375
Batch 29: loss = 0.28165966272354126, acc = 0.90234375
Batch 30: loss = 0.32505473494529724, acc = 0.890625
Batch 31: loss = 0.2721816301345825, acc = 0.9091796875
Batch 32: loss = 0.35741615295410156, acc = 0.8798828125
Batch 33: loss = 0.24736304581165314, acc = 0.9169921875
Batch 34: loss = 0.31249773502349854, acc = 0.8994140625
Batch 35: loss = 0.2683033347129822, acc = 0.91015625
Batch 36: loss = 0.2513898015022278, acc = 0.91796875
Batch 37: loss = 0.2709740996360779, acc = 0.9140625
Batch 38: loss = 0.25319385528564453, acc = 0.912109375
Batch 39: loss = 0.24637217819690704, acc = 0.9169921875
Batch 40: loss = 0.2650790810585022, acc = 0.9140625
Batch 41: loss = 0.2601359784603119, acc = 0.912109375
Batch 42: loss = 0.2747647166252136, acc = 0.904296875
Batch 43: loss = 0.31539830565452576, acc = 0.884765625
Batch 44: loss = 0.2573084533214569, acc = 0.923828125
Batch 45: loss = 0.2718506455421448, acc = 0.9052734375
Batch 46: loss = 0.2687172293663025, acc = 0.9033203125
Batch 47: loss = 0.2691681385040283, acc = 0.9140625
Batch 48: loss = 0.2454560101032257, acc = 0.9208984375
Batch 49: loss = 0.2553262710571289, acc = 0.916015625
Batch 50: loss = 0.25167834758758545, acc = 0.912109375
Batch 51: loss = 0.2399337887763977, acc = 0.91796875
Batch 52: loss = 0.25859692692756653, acc = 0.9072265625
Batch 53: loss = 0.26307356357574463, acc = 0.90234375
Batch 54: loss = 0.22451607882976532, acc = 0.927734375
Batch 55: loss = 0.255638986825943, acc = 0.91796875
Batch 56: loss = 0.2861981689929962, acc = 0.8994140625
Batch 57: loss = 0.3363598883152008, acc = 0.8779296875
Batch 58: loss = 0.31812766194343567, acc = 0.900390625
Batch 59: loss = 0.2572501003742218, acc = 0.9150390625
Batch 60: loss = 0.2633610963821411, acc = 0.9150390625
Batch 61: loss = 0.2831149399280548, acc = 0.904296875
Batch 62: loss = 0.3125889301300049, acc = 0.8984375
Batch 63: loss = 0.2724612355232239, acc = 0.90625
Batch 64: loss = 0.2731703519821167, acc = 0.9091796875
Batch 65: loss = 0.27392852306365967, acc = 0.91015625
Batch 66: loss = 0.27593928575515747, acc = 0.9091796875
Batch 67: loss = 0.28190040588378906, acc = 0.90234375
Batch 68: loss = 0.29685938358306885, acc = 0.91015625
Batch 69: loss = 0.23987899720668793, acc = 0.916015625
Batch 70: loss = 0.2992497980594635, acc = 0.90625
Batch 71: loss = 0.28478288650512695, acc = 0.9052734375
Batch 72: loss = 0.28064972162246704, acc = 0.9013671875
Batch 73: loss = 0.3242483139038086, acc = 0.884765625
Batch 74: loss = 0.31870222091674805, acc = 0.9052734375
Batch 75: loss = 0.31778088212013245, acc = 0.8828125
Batch 76: loss = 0.28017711639404297, acc = 0.90625
Batch 77: loss = 0.25398117303848267, acc = 0.916015625
Batch 78: loss = 0.27156710624694824, acc = 0.900390625
Batch 79: loss = 0.28524383902549744, acc = 0.9033203125
Batch 80: loss = 0.3062625527381897, acc = 0.9033203125
Batch 81: loss = 0.29132235050201416, acc = 0.90234375
Batch 82: loss = 0.25266170501708984, acc = 0.9150390625
Batch 83: loss = 0.2703942060470581, acc = 0.9072265625
Batch 84: loss = 0.29777348041534424, acc = 0.8974609375
Batch 85: loss = 0.28741979598999023, acc = 0.9033203125
Batch 86: loss = 0.3003036379814148, acc = 0.9013671875
Batch 87: loss = 0.3109212815761566, acc = 0.904296875
Batch 88: loss = 0.31944918632507324, acc = 0.892578125
Batch 89: loss = 0.2714564800262451, acc = 0.916015625
Batch 90: loss = 0.2830488681793213, acc = 0.896484375
Batch 91: loss = 0.290194571018219, acc = 0.90234375
Batch 92: loss = 0.2929748296737671, acc = 0.900390625
Batch 93: loss = 0.2606196999549866, acc = 0.9111328125
Batch 94: loss = 0.24581556022167206, acc = 0.919921875
Batch 95: loss = 0.25263065099716187, acc = 0.912109375
Batch 96: loss = 0.2632193863391876, acc = 0.9140625
Batch 97: loss = 0.28624245524406433, acc = 0.8955078125
Batch 98: loss = 0.3060324788093567, acc = 0.8876953125
Batch 99: loss = 0.287592351436615, acc = 0.90625
Batch 100: loss = 0.2987605333328247, acc = 0.8974609375
Batch 101: loss = 0.2629537582397461, acc = 0.9111328125
Batch 102: loss = 0.2628951668739319, acc = 0.916015625
Batch 103: loss = 0.25796785950660706, acc = 0.908203125
Batch 104: loss = 0.2652965784072876, acc = 0.9140625
Batch 105: loss = 0.25707921385765076, acc = 0.919921875
Batch 106: loss = 0.2388921082019806, acc = 0.9169921875
Batch 107: loss = 0.24676291644573212, acc = 0.9150390625
Batch 108: loss = 0.2565121352672577, acc = 0.9111328125
Batch 109: loss = 0.24962297081947327, acc = 0.912109375
Batch 110: loss = 0.256635844707489, acc = 0.919921875
Batch 111: loss = 0.2676088809967041, acc = 0.9072265625
Batch 112: loss = 0.2890011668205261, acc = 0.900390625
Batch 113: loss = 0.33555418252944946, acc = 0.8876953125
Batch 114: loss = 0.2896108627319336, acc = 0.904296875
Batch 115: loss = 0.32329249382019043, acc = 0.890625
Batch 116: loss = 0.2995351552963257, acc = 0.89453125
Batch 117: loss = 0.2870049774646759, acc = 0.8994140625
Batch 118: loss = 0.2647126317024231, acc = 0.9072265625
Batch 119: loss = 0.2522677183151245, acc = 0.9169921875
Batch 120: loss = 0.24101586639881134, acc = 0.92578125
Batch 121: loss = 0.2812510132789612, acc = 0.9033203125
Batch 122: loss = 0.2704005837440491, acc = 0.9072265625
Batch 123: loss = 0.27361738681793213, acc = 0.9130859375
Batch 124: loss = 0.2867525815963745, acc = 0.90625
Batch 125: loss = 0.3229576647281647, acc = 0.8984375
Batch 126: loss = 0.2675817608833313, acc = 0.91015625

Epoch 84/100
Batch 1: loss = 0.37181562185287476, acc = 0.884765625
Batch 2: loss = 0.2996681332588196, acc = 0.8955078125
Batch 3: loss = 0.27504047751426697, acc = 0.904296875
Batch 4: loss = 0.2858813405036926, acc = 0.90625
Batch 5: loss = 0.3064787983894348, acc = 0.896484375
Batch 6: loss = 0.30901676416397095, acc = 0.8935546875
Batch 7: loss = 0.27088984847068787, acc = 0.8994140625
Batch 8: loss = 0.2893552780151367, acc = 0.9052734375
Batch 9: loss = 0.2891225814819336, acc = 0.9052734375
Batch 10: loss = 0.27057138085365295, acc = 0.9111328125
Batch 11: loss = 0.2720355987548828, acc = 0.904296875
Batch 12: loss = 0.2860397696495056, acc = 0.8974609375
Batch 13: loss = 0.28403255343437195, acc = 0.90234375
Batch 14: loss = 0.2968253493309021, acc = 0.9033203125
Batch 15: loss = 0.2426416575908661, acc = 0.9130859375
Batch 16: loss = 0.26635995507240295, acc = 0.9033203125
Batch 17: loss = 0.2957035303115845, acc = 0.8994140625
Batch 18: loss = 0.3285243511199951, acc = 0.88671875
Batch 19: loss = 0.2615066170692444, acc = 0.9130859375
Batch 20: loss = 0.2720660865306854, acc = 0.91015625
Batch 21: loss = 0.2958962619304657, acc = 0.8974609375
Batch 22: loss = 0.307918906211853, acc = 0.892578125
Batch 23: loss = 0.31962546706199646, acc = 0.89453125
Batch 24: loss = 0.25820809602737427, acc = 0.921875
Batch 25: loss = 0.2821723520755768, acc = 0.9091796875
Batch 26: loss = 0.2994535565376282, acc = 0.8984375
Batch 27: loss = 0.3252549171447754, acc = 0.884765625
Batch 28: loss = 0.27354833483695984, acc = 0.908203125
Batch 29: loss = 0.26351258158683777, acc = 0.908203125
Batch 30: loss = 0.2917301058769226, acc = 0.8984375
Batch 31: loss = 0.29097145795822144, acc = 0.9033203125
Batch 32: loss = 0.3547958731651306, acc = 0.884765625
Batch 33: loss = 0.24611520767211914, acc = 0.919921875
Batch 34: loss = 0.3159487545490265, acc = 0.89453125
Batch 35: loss = 0.26048314571380615, acc = 0.9140625
Batch 36: loss = 0.21498653292655945, acc = 0.9248046875
Batch 37: loss = 0.23763427138328552, acc = 0.9169921875
Batch 38: loss = 0.2480236291885376, acc = 0.9169921875
Batch 39: loss = 0.26628533005714417, acc = 0.904296875
Batch 40: loss = 0.28217166662216187, acc = 0.9052734375
Batch 41: loss = 0.26138371229171753, acc = 0.9140625
Batch 42: loss = 0.25423043966293335, acc = 0.91796875
Batch 43: loss = 0.2835872769355774, acc = 0.908203125
Batch 44: loss = 0.2819509506225586, acc = 0.9013671875
Batch 45: loss = 0.2549421191215515, acc = 0.9111328125
Batch 46: loss = 0.21799015998840332, acc = 0.9287109375
Batch 47: loss = 0.27810317277908325, acc = 0.9140625
Batch 48: loss = 0.2650046944618225, acc = 0.91015625
Batch 49: loss = 0.23428861796855927, acc = 0.927734375
Batch 50: loss = 0.28768813610076904, acc = 0.8994140625
Batch 51: loss = 0.2972812056541443, acc = 0.8984375
Batch 52: loss = 0.2781309187412262, acc = 0.9013671875
Batch 53: loss = 0.26459455490112305, acc = 0.9091796875
Batch 54: loss = 0.2194080352783203, acc = 0.92578125
Batch 55: loss = 0.21708574891090393, acc = 0.9306640625
Batch 56: loss = 0.2713609039783478, acc = 0.9091796875
Batch 57: loss = 0.3054869472980499, acc = 0.8896484375
Batch 58: loss = 0.3099733293056488, acc = 0.9052734375
Batch 59: loss = 0.2515523433685303, acc = 0.9169921875
Batch 60: loss = 0.23739878833293915, acc = 0.916015625
Batch 61: loss = 0.2688390612602234, acc = 0.9033203125
Batch 62: loss = 0.2922961413860321, acc = 0.908203125
Batch 63: loss = 0.22572973370552063, acc = 0.9228515625
Batch 64: loss = 0.2500459551811218, acc = 0.9169921875
Batch 65: loss = 0.2549474835395813, acc = 0.9150390625
Batch 66: loss = 0.26045066118240356, acc = 0.919921875
Batch 67: loss = 0.25216570496559143, acc = 0.9150390625
Batch 68: loss = 0.27221548557281494, acc = 0.9091796875
Batch 69: loss = 0.24714647233486176, acc = 0.919921875
Batch 70: loss = 0.3150489926338196, acc = 0.8955078125
Batch 71: loss = 0.29327595233917236, acc = 0.9013671875
Batch 72: loss = 0.282850980758667, acc = 0.91796875
Batch 73: loss = 0.3139656186103821, acc = 0.9013671875
Batch 74: loss = 0.29940348863601685, acc = 0.8984375
Batch 75: loss = 0.3252984285354614, acc = 0.896484375
Batch 76: loss = 0.2736823856830597, acc = 0.8994140625
Batch 77: loss = 0.2474699467420578, acc = 0.9130859375
Batch 78: loss = 0.283504456281662, acc = 0.908203125
Batch 79: loss = 0.2942310869693756, acc = 0.90234375
Batch 80: loss = 0.2582836151123047, acc = 0.9111328125
Batch 81: loss = 0.26402121782302856, acc = 0.9130859375
Batch 82: loss = 0.2668062150478363, acc = 0.912109375
Batch 83: loss = 0.24896058440208435, acc = 0.91015625
Batch 84: loss = 0.29370972514152527, acc = 0.904296875
Batch 85: loss = 0.30508071184158325, acc = 0.900390625
Batch 86: loss = 0.29173946380615234, acc = 0.900390625
Batch 87: loss = 0.31870076060295105, acc = 0.892578125
Batch 88: loss = 0.32654330134391785, acc = 0.896484375
Batch 89: loss = 0.22921881079673767, acc = 0.9208984375
Batch 90: loss = 0.31515800952911377, acc = 0.89453125
Batch 91: loss = 0.30982106924057007, acc = 0.89453125
Batch 92: loss = 0.31997209787368774, acc = 0.8896484375
Batch 93: loss = 0.28051966428756714, acc = 0.908203125
Batch 94: loss = 0.243259459733963, acc = 0.9267578125
Batch 95: loss = 0.27203601598739624, acc = 0.904296875
Batch 96: loss = 0.30635836720466614, acc = 0.892578125
Batch 97: loss = 0.31626397371292114, acc = 0.904296875
Batch 98: loss = 0.2868024408817291, acc = 0.908203125
Batch 99: loss = 0.2687727212905884, acc = 0.90234375
Batch 100: loss = 0.2540592849254608, acc = 0.919921875
Batch 101: loss = 0.27901679277420044, acc = 0.9013671875
Batch 102: loss = 0.2877509891986847, acc = 0.900390625
Batch 103: loss = 0.3022703528404236, acc = 0.90625
Batch 104: loss = 0.23835976421833038, acc = 0.916015625
Batch 105: loss = 0.28024426102638245, acc = 0.9091796875
Batch 106: loss = 0.2698317766189575, acc = 0.9091796875
Batch 107: loss = 0.2554628849029541, acc = 0.9150390625
Batch 108: loss = 0.294860303401947, acc = 0.90234375
Batch 109: loss = 0.2544766664505005, acc = 0.9189453125
Batch 110: loss = 0.24356666207313538, acc = 0.9248046875
Batch 111: loss = 0.2582067847251892, acc = 0.9140625
Batch 112: loss = 0.2891509532928467, acc = 0.90234375
Batch 113: loss = 0.26055118441581726, acc = 0.9130859375
Batch 114: loss = 0.2935522198677063, acc = 0.90234375
Batch 115: loss = 0.26310786604881287, acc = 0.9140625
Batch 116: loss = 0.2981553077697754, acc = 0.900390625
Batch 117: loss = 0.2765141725540161, acc = 0.9013671875
Batch 118: loss = 0.2564866542816162, acc = 0.9091796875
Batch 119: loss = 0.294322669506073, acc = 0.90234375
Batch 120: loss = 0.2591778039932251, acc = 0.90625
Batch 121: loss = 0.2797492444515228, acc = 0.904296875
Batch 122: loss = 0.251496285200119, acc = 0.912109375
Batch 123: loss = 0.282829225063324, acc = 0.8994140625
Batch 124: loss = 0.3225608468055725, acc = 0.892578125
Batch 125: loss = 0.2906566262245178, acc = 0.9033203125
Batch 126: loss = 0.30861103534698486, acc = 0.890625

Epoch 85/100
Batch 1: loss = 0.3477766513824463, acc = 0.8876953125
Batch 2: loss = 0.2949308753013611, acc = 0.9013671875
Batch 3: loss = 0.2895374298095703, acc = 0.9033203125
Batch 4: loss = 0.2607930600643158, acc = 0.919921875
Batch 5: loss = 0.32700711488723755, acc = 0.890625
Batch 6: loss = 0.2842927575111389, acc = 0.90234375
Batch 7: loss = 0.3022148013114929, acc = 0.8935546875
Batch 8: loss = 0.29754137992858887, acc = 0.8974609375
Batch 9: loss = 0.29664355516433716, acc = 0.8994140625
Batch 10: loss = 0.25599998235702515, acc = 0.9130859375
Batch 11: loss = 0.28263407945632935, acc = 0.9013671875
Batch 12: loss = 0.2658050060272217, acc = 0.8984375
Batch 13: loss = 0.26148876547813416, acc = 0.919921875
Batch 14: loss = 0.2794921398162842, acc = 0.9140625
Batch 15: loss = 0.2545090913772583, acc = 0.9189453125
Batch 16: loss = 0.30825161933898926, acc = 0.8984375
Batch 17: loss = 0.2766893804073334, acc = 0.896484375
Batch 18: loss = 0.28600290417671204, acc = 0.9013671875
Batch 19: loss = 0.3024192750453949, acc = 0.888671875
Batch 20: loss = 0.2982047200202942, acc = 0.9052734375
Batch 21: loss = 0.26656320691108704, acc = 0.9140625
Batch 22: loss = 0.28846657276153564, acc = 0.90234375
Batch 23: loss = 0.2980120778083801, acc = 0.9091796875
Batch 24: loss = 0.2743459641933441, acc = 0.9052734375
Batch 25: loss = 0.2711087465286255, acc = 0.91015625
Batch 26: loss = 0.2607051730155945, acc = 0.91796875
Batch 27: loss = 0.26993876695632935, acc = 0.9111328125
Batch 28: loss = 0.3303590416908264, acc = 0.8876953125
Batch 29: loss = 0.3152145445346832, acc = 0.900390625
Batch 30: loss = 0.32571810483932495, acc = 0.8955078125
Batch 31: loss = 0.26910823583602905, acc = 0.908203125
Batch 32: loss = 0.313509464263916, acc = 0.8935546875
Batch 33: loss = 0.25361737608909607, acc = 0.9189453125
Batch 34: loss = 0.29852333664894104, acc = 0.904296875
Batch 35: loss = 0.25533896684646606, acc = 0.9140625
Batch 36: loss = 0.24082937836647034, acc = 0.9189453125
Batch 37: loss = 0.24824687838554382, acc = 0.91015625
Batch 38: loss = 0.24980387091636658, acc = 0.921875
Batch 39: loss = 0.2578820586204529, acc = 0.9052734375
Batch 40: loss = 0.3107684850692749, acc = 0.890625
Batch 41: loss = 0.2770705819129944, acc = 0.8994140625
Batch 42: loss = 0.2405698001384735, acc = 0.919921875
Batch 43: loss = 0.25701722502708435, acc = 0.896484375
Batch 44: loss = 0.24826760590076447, acc = 0.921875
Batch 45: loss = 0.2711722254753113, acc = 0.900390625
Batch 46: loss = 0.2510809600353241, acc = 0.91015625
Batch 47: loss = 0.24103310704231262, acc = 0.9267578125
Batch 48: loss = 0.22119787335395813, acc = 0.9208984375
Batch 49: loss = 0.23689976334571838, acc = 0.9208984375
Batch 50: loss = 0.2729106545448303, acc = 0.9033203125
Batch 51: loss = 0.2738116979598999, acc = 0.9033203125
Batch 52: loss = 0.25453901290893555, acc = 0.908203125
Batch 53: loss = 0.2739686965942383, acc = 0.9189453125
Batch 54: loss = 0.2377752959728241, acc = 0.91796875
Batch 55: loss = 0.26130321621894836, acc = 0.9111328125
Batch 56: loss = 0.2711109220981598, acc = 0.8994140625
Batch 57: loss = 0.3153989315032959, acc = 0.8876953125
Batch 58: loss = 0.3044057786464691, acc = 0.88671875
Batch 59: loss = 0.19630102813243866, acc = 0.943359375
Batch 60: loss = 0.27044031023979187, acc = 0.9130859375
Batch 61: loss = 0.2507672607898712, acc = 0.912109375
Batch 62: loss = 0.2878786325454712, acc = 0.90625
Batch 63: loss = 0.24121221899986267, acc = 0.9169921875
Batch 64: loss = 0.2296951413154602, acc = 0.927734375
Batch 65: loss = 0.234463632106781, acc = 0.9150390625
Batch 66: loss = 0.2709418833255768, acc = 0.91015625
Batch 67: loss = 0.26583075523376465, acc = 0.9052734375
Batch 68: loss = 0.2711350619792938, acc = 0.916015625
Batch 69: loss = 0.24307039380073547, acc = 0.9130859375
Batch 70: loss = 0.2931424379348755, acc = 0.9130859375
Batch 71: loss = 0.3250415325164795, acc = 0.8984375
Batch 72: loss = 0.28545081615448, acc = 0.900390625
Batch 73: loss = 0.28562942147254944, acc = 0.9033203125
Batch 74: loss = 0.3130021095275879, acc = 0.9052734375
Batch 75: loss = 0.2918950617313385, acc = 0.892578125
Batch 76: loss = 0.303819477558136, acc = 0.9091796875
Batch 77: loss = 0.24074441194534302, acc = 0.916015625
Batch 78: loss = 0.2772642970085144, acc = 0.8984375
Batch 79: loss = 0.260494202375412, acc = 0.9140625
Batch 80: loss = 0.2597787380218506, acc = 0.91015625
Batch 81: loss = 0.27849113941192627, acc = 0.904296875
Batch 82: loss = 0.25715434551239014, acc = 0.91796875
Batch 83: loss = 0.25412407517433167, acc = 0.9111328125
Batch 84: loss = 0.3133593201637268, acc = 0.89453125
Batch 85: loss = 0.31024470925331116, acc = 0.89453125
Batch 86: loss = 0.3223544955253601, acc = 0.89453125
Batch 87: loss = 0.27764445543289185, acc = 0.9052734375
Batch 88: loss = 0.2938317060470581, acc = 0.9052734375
Batch 89: loss = 0.26046431064605713, acc = 0.9140625
Batch 90: loss = 0.2787461578845978, acc = 0.90625
Batch 91: loss = 0.29259252548217773, acc = 0.90234375
Batch 92: loss = 0.31953299045562744, acc = 0.890625
Batch 93: loss = 0.2587937116622925, acc = 0.91796875
Batch 94: loss = 0.24650660157203674, acc = 0.912109375
Batch 95: loss = 0.2268349826335907, acc = 0.9248046875
Batch 96: loss = 0.2779083549976349, acc = 0.9072265625
Batch 97: loss = 0.26595622301101685, acc = 0.91796875
Batch 98: loss = 0.2659444212913513, acc = 0.9072265625
Batch 99: loss = 0.2961825430393219, acc = 0.912109375
Batch 100: loss = 0.25817015767097473, acc = 0.9169921875
Batch 101: loss = 0.2773663401603699, acc = 0.90625
Batch 102: loss = 0.27779436111450195, acc = 0.9130859375
Batch 103: loss = 0.28499048948287964, acc = 0.8955078125
Batch 104: loss = 0.252280056476593, acc = 0.9130859375
Batch 105: loss = 0.2576961815357208, acc = 0.9052734375
Batch 106: loss = 0.26236873865127563, acc = 0.904296875
Batch 107: loss = 0.2884523868560791, acc = 0.904296875
Batch 108: loss = 0.26530158519744873, acc = 0.9033203125
Batch 109: loss = 0.2910173535346985, acc = 0.9140625
Batch 110: loss = 0.24567857384681702, acc = 0.9208984375
Batch 111: loss = 0.3258705139160156, acc = 0.875
Batch 112: loss = 0.2664891481399536, acc = 0.9091796875
Batch 113: loss = 0.29804813861846924, acc = 0.8994140625
Batch 114: loss = 0.28396862745285034, acc = 0.9013671875
Batch 115: loss = 0.29588955640792847, acc = 0.9013671875
Batch 116: loss = 0.3044915199279785, acc = 0.9013671875
Batch 117: loss = 0.2952722907066345, acc = 0.904296875
Batch 118: loss = 0.2662551701068878, acc = 0.912109375
Batch 119: loss = 0.2601841986179352, acc = 0.9072265625
Batch 120: loss = 0.2706259489059448, acc = 0.904296875
Batch 121: loss = 0.2563530206680298, acc = 0.912109375
Batch 122: loss = 0.23420551419258118, acc = 0.9189453125
Batch 123: loss = 0.2526654005050659, acc = 0.9140625
Batch 124: loss = 0.2777625322341919, acc = 0.896484375
Batch 125: loss = 0.30824029445648193, acc = 0.8974609375
Batch 126: loss = 0.31564950942993164, acc = 0.8955078125

Epoch 86/100
Batch 1: loss = 0.373918354511261, acc = 0.8837890625
Batch 2: loss = 0.2682943642139435, acc = 0.9033203125
Batch 3: loss = 0.29084956645965576, acc = 0.8994140625
Batch 4: loss = 0.263561487197876, acc = 0.9169921875
Batch 5: loss = 0.24319949746131897, acc = 0.9169921875
Batch 6: loss = 0.2636997103691101, acc = 0.9140625
Batch 7: loss = 0.2615702748298645, acc = 0.90625
Batch 8: loss = 0.29151150584220886, acc = 0.9052734375
Batch 9: loss = 0.28567808866500854, acc = 0.90234375
Batch 10: loss = 0.23275414109230042, acc = 0.9208984375
Batch 11: loss = 0.2886973023414612, acc = 0.8935546875
Batch 12: loss = 0.2818441390991211, acc = 0.9013671875
Batch 13: loss = 0.2671157717704773, acc = 0.9130859375
Batch 14: loss = 0.2816072702407837, acc = 0.9169921875
Batch 15: loss = 0.26638704538345337, acc = 0.91796875
Batch 16: loss = 0.2931075692176819, acc = 0.8984375
Batch 17: loss = 0.3357231020927429, acc = 0.8876953125
Batch 18: loss = 0.2641279995441437, acc = 0.9111328125
Batch 19: loss = 0.26218077540397644, acc = 0.916015625
Batch 20: loss = 0.26989349722862244, acc = 0.9072265625
Batch 21: loss = 0.28824084997177124, acc = 0.904296875
Batch 22: loss = 0.2625519633293152, acc = 0.9072265625
Batch 23: loss = 0.31329530477523804, acc = 0.8984375
Batch 24: loss = 0.26339390873908997, acc = 0.9111328125
Batch 25: loss = 0.30888456106185913, acc = 0.8955078125
Batch 26: loss = 0.2635475695133209, acc = 0.91015625
Batch 27: loss = 0.279222697019577, acc = 0.8984375
Batch 28: loss = 0.2956584095954895, acc = 0.90625
Batch 29: loss = 0.2710920572280884, acc = 0.8994140625
Batch 30: loss = 0.253842830657959, acc = 0.91015625
Batch 31: loss = 0.2729896008968353, acc = 0.8994140625
Batch 32: loss = 0.2997918725013733, acc = 0.904296875
Batch 33: loss = 0.2576245069503784, acc = 0.912109375
Batch 34: loss = 0.2678542733192444, acc = 0.9091796875
Batch 35: loss = 0.26929089426994324, acc = 0.916015625
Batch 36: loss = 0.23453128337860107, acc = 0.9228515625
Batch 37: loss = 0.23476706445217133, acc = 0.919921875
Batch 38: loss = 0.2568809688091278, acc = 0.90625
Batch 39: loss = 0.23606744408607483, acc = 0.916015625
Batch 40: loss = 0.27720680832862854, acc = 0.90234375
Batch 41: loss = 0.23904389142990112, acc = 0.9111328125
Batch 42: loss = 0.26442399621009827, acc = 0.9228515625
Batch 43: loss = 0.2935236990451813, acc = 0.8896484375
Batch 44: loss = 0.23840546607971191, acc = 0.921875
Batch 45: loss = 0.2644351124763489, acc = 0.8984375
Batch 46: loss = 0.2560337781906128, acc = 0.9091796875
Batch 47: loss = 0.2696954607963562, acc = 0.9072265625
Batch 48: loss = 0.21192318201065063, acc = 0.9287109375
Batch 49: loss = 0.26409101486206055, acc = 0.9140625
Batch 50: loss = 0.25968122482299805, acc = 0.9140625
Batch 51: loss = 0.26340392231941223, acc = 0.91015625
Batch 52: loss = 0.2750454545021057, acc = 0.908203125
Batch 53: loss = 0.31767547130584717, acc = 0.8974609375
Batch 54: loss = 0.22757545113563538, acc = 0.9296875
Batch 55: loss = 0.2516639232635498, acc = 0.9111328125
Batch 56: loss = 0.2935384511947632, acc = 0.9013671875
Batch 57: loss = 0.2845211327075958, acc = 0.896484375
Batch 58: loss = 0.2766845226287842, acc = 0.90234375
Batch 59: loss = 0.21613939106464386, acc = 0.93359375
Batch 60: loss = 0.2553889751434326, acc = 0.9150390625
Batch 61: loss = 0.26919281482696533, acc = 0.8994140625
Batch 62: loss = 0.3143872618675232, acc = 0.8818359375
Batch 63: loss = 0.2837371230125427, acc = 0.8916015625
Batch 64: loss = 0.27195441722869873, acc = 0.908203125
Batch 65: loss = 0.27861928939819336, acc = 0.9052734375
Batch 66: loss = 0.25427472591400146, acc = 0.9150390625
Batch 67: loss = 0.26681220531463623, acc = 0.9111328125
Batch 68: loss = 0.2572358250617981, acc = 0.91015625
Batch 69: loss = 0.233008474111557, acc = 0.92578125
Batch 70: loss = 0.3122580051422119, acc = 0.8974609375
Batch 71: loss = 0.2874454855918884, acc = 0.90234375
Batch 72: loss = 0.2628316283226013, acc = 0.919921875
Batch 73: loss = 0.26831579208374023, acc = 0.9033203125
Batch 74: loss = 0.2865789532661438, acc = 0.9033203125
Batch 75: loss = 0.2775278091430664, acc = 0.9140625
Batch 76: loss = 0.29800665378570557, acc = 0.8955078125
Batch 77: loss = 0.25434139370918274, acc = 0.9072265625
Batch 78: loss = 0.3356231451034546, acc = 0.88671875
Batch 79: loss = 0.26527613401412964, acc = 0.91015625
Batch 80: loss = 0.2726290822029114, acc = 0.90234375
Batch 81: loss = 0.28460121154785156, acc = 0.9091796875
Batch 82: loss = 0.27744221687316895, acc = 0.9013671875
Batch 83: loss = 0.25283241271972656, acc = 0.9091796875
Batch 84: loss = 0.3139920234680176, acc = 0.90625
Batch 85: loss = 0.280418336391449, acc = 0.9033203125
Batch 86: loss = 0.25704729557037354, acc = 0.916015625
Batch 87: loss = 0.2787742018699646, acc = 0.91015625
Batch 88: loss = 0.3176124691963196, acc = 0.8916015625
Batch 89: loss = 0.2663598358631134, acc = 0.91015625
Batch 90: loss = 0.2681332230567932, acc = 0.9033203125
Batch 91: loss = 0.3223854899406433, acc = 0.884765625
Batch 92: loss = 0.29635974764823914, acc = 0.9033203125
Batch 93: loss = 0.2513914108276367, acc = 0.9208984375
Batch 94: loss = 0.2649938464164734, acc = 0.912109375
Batch 95: loss = 0.26686739921569824, acc = 0.9130859375
Batch 96: loss = 0.3016780912876129, acc = 0.8994140625
Batch 97: loss = 0.28136327862739563, acc = 0.8994140625
Batch 98: loss = 0.31542831659317017, acc = 0.8935546875
Batch 99: loss = 0.3045485019683838, acc = 0.8984375
Batch 100: loss = 0.273366242647171, acc = 0.9072265625
Batch 101: loss = 0.2638787627220154, acc = 0.9130859375
Batch 102: loss = 0.27457043528556824, acc = 0.90625
Batch 103: loss = 0.2823261618614197, acc = 0.9052734375
Batch 104: loss = 0.2648429870605469, acc = 0.91015625
Batch 105: loss = 0.257887065410614, acc = 0.90234375
Batch 106: loss = 0.2781268060207367, acc = 0.908203125
Batch 107: loss = 0.2741290330886841, acc = 0.90234375
Batch 108: loss = 0.26106247305870056, acc = 0.912109375
Batch 109: loss = 0.2521625757217407, acc = 0.9228515625
Batch 110: loss = 0.26642298698425293, acc = 0.9140625
Batch 111: loss = 0.29128414392471313, acc = 0.900390625
Batch 112: loss = 0.2948587238788605, acc = 0.900390625
Batch 113: loss = 0.27823805809020996, acc = 0.9013671875
Batch 114: loss = 0.2915560305118561, acc = 0.8974609375
Batch 115: loss = 0.2786676287651062, acc = 0.9130859375
Batch 116: loss = 0.309958279132843, acc = 0.896484375
Batch 117: loss = 0.2830856740474701, acc = 0.9052734375
Batch 118: loss = 0.25197649002075195, acc = 0.9287109375
Batch 119: loss = 0.2771642208099365, acc = 0.9111328125
Batch 120: loss = 0.24480223655700684, acc = 0.9130859375
Batch 121: loss = 0.2506244480609894, acc = 0.912109375
Batch 122: loss = 0.2545125484466553, acc = 0.9091796875
Batch 123: loss = 0.246333509683609, acc = 0.912109375
Batch 124: loss = 0.32491520047187805, acc = 0.88671875
Batch 125: loss = 0.31585291028022766, acc = 0.8955078125
Batch 126: loss = 0.3084664046764374, acc = 0.8896484375

Epoch 87/100
Batch 1: loss = 0.3506113588809967, acc = 0.8935546875
Batch 2: loss = 0.2593134045600891, acc = 0.908203125
Batch 3: loss = 0.27728748321533203, acc = 0.9169921875
Batch 4: loss = 0.25904005765914917, acc = 0.9150390625
Batch 5: loss = 0.2462291121482849, acc = 0.9208984375
Batch 6: loss = 0.28255534172058105, acc = 0.8984375
Batch 7: loss = 0.26574525237083435, acc = 0.912109375
Batch 8: loss = 0.30710580945014954, acc = 0.8974609375
Batch 9: loss = 0.28264057636260986, acc = 0.9013671875
Batch 10: loss = 0.26234278082847595, acc = 0.9052734375
Batch 11: loss = 0.30829906463623047, acc = 0.900390625
Batch 12: loss = 0.27562272548675537, acc = 0.904296875
Batch 13: loss = 0.2708754539489746, acc = 0.900390625
Batch 14: loss = 0.29117119312286377, acc = 0.908203125
Batch 15: loss = 0.2568051218986511, acc = 0.91015625
Batch 16: loss = 0.3078542947769165, acc = 0.8837890625
Batch 17: loss = 0.2689551115036011, acc = 0.904296875
Batch 18: loss = 0.29224342107772827, acc = 0.9013671875
Batch 19: loss = 0.24825629591941833, acc = 0.9169921875
Batch 20: loss = 0.2664095163345337, acc = 0.908203125
Batch 21: loss = 0.2804564833641052, acc = 0.916015625
Batch 22: loss = 0.28496021032333374, acc = 0.904296875
Batch 23: loss = 0.2910654544830322, acc = 0.892578125
Batch 24: loss = 0.24487869441509247, acc = 0.9111328125
Batch 25: loss = 0.26534849405288696, acc = 0.9140625
Batch 26: loss = 0.24756470322608948, acc = 0.923828125
Batch 27: loss = 0.27545565366744995, acc = 0.9052734375
Batch 28: loss = 0.2812904715538025, acc = 0.9033203125
Batch 29: loss = 0.2876098155975342, acc = 0.8994140625
Batch 30: loss = 0.30852389335632324, acc = 0.8916015625
Batch 31: loss = 0.2842234671115875, acc = 0.9052734375
Batch 32: loss = 0.286428302526474, acc = 0.896484375
Batch 33: loss = 0.24239841103553772, acc = 0.9267578125
Batch 34: loss = 0.25454944372177124, acc = 0.91015625
Batch 35: loss = 0.2794790267944336, acc = 0.904296875
Batch 36: loss = 0.2289692461490631, acc = 0.91796875
Batch 37: loss = 0.23710602521896362, acc = 0.9208984375
Batch 38: loss = 0.2669994831085205, acc = 0.91015625
Batch 39: loss = 0.23272109031677246, acc = 0.9228515625
Batch 40: loss = 0.2617310881614685, acc = 0.90625
Batch 41: loss = 0.2564910054206848, acc = 0.90625
Batch 42: loss = 0.27049389481544495, acc = 0.91015625
Batch 43: loss = 0.2586205005645752, acc = 0.9140625
Batch 44: loss = 0.2582780718803406, acc = 0.919921875
Batch 45: loss = 0.2530970275402069, acc = 0.8994140625
Batch 46: loss = 0.23626235127449036, acc = 0.91796875
Batch 47: loss = 0.2558867037296295, acc = 0.9130859375
Batch 48: loss = 0.22221441566944122, acc = 0.9228515625
Batch 49: loss = 0.23247843980789185, acc = 0.931640625
Batch 50: loss = 0.24168948829174042, acc = 0.9208984375
Batch 51: loss = 0.2812676727771759, acc = 0.9111328125
Batch 52: loss = 0.2532230317592621, acc = 0.9111328125
Batch 53: loss = 0.29830285906791687, acc = 0.896484375
Batch 54: loss = 0.2237720787525177, acc = 0.92578125
Batch 55: loss = 0.2561023235321045, acc = 0.9111328125
Batch 56: loss = 0.2371925413608551, acc = 0.9111328125
Batch 57: loss = 0.27823084592819214, acc = 0.9150390625
Batch 58: loss = 0.3240498900413513, acc = 0.8857421875
Batch 59: loss = 0.23907224833965302, acc = 0.9140625
Batch 60: loss = 0.2710913419723511, acc = 0.90625
Batch 61: loss = 0.241862490773201, acc = 0.921875
Batch 62: loss = 0.26885873079299927, acc = 0.9150390625
Batch 63: loss = 0.27710291743278503, acc = 0.908203125
Batch 64: loss = 0.2416500747203827, acc = 0.92578125
Batch 65: loss = 0.2660313844680786, acc = 0.9169921875
Batch 66: loss = 0.26281654834747314, acc = 0.9091796875
Batch 67: loss = 0.27300065755844116, acc = 0.90625
Batch 68: loss = 0.2551521956920624, acc = 0.9140625
Batch 69: loss = 0.23692134022712708, acc = 0.9208984375
Batch 70: loss = 0.2719094455242157, acc = 0.9189453125
Batch 71: loss = 0.26132315397262573, acc = 0.908203125
Batch 72: loss = 0.24185167253017426, acc = 0.9150390625
Batch 73: loss = 0.2827471196651459, acc = 0.9033203125
Batch 74: loss = 0.28041595220565796, acc = 0.9091796875
Batch 75: loss = 0.32403209805488586, acc = 0.8857421875
Batch 76: loss = 0.2707543969154358, acc = 0.9169921875
Batch 77: loss = 0.24126553535461426, acc = 0.916015625
Batch 78: loss = 0.26284489035606384, acc = 0.9072265625
Batch 79: loss = 0.2710902690887451, acc = 0.9169921875
Batch 80: loss = 0.2795535922050476, acc = 0.8955078125
Batch 81: loss = 0.2703878879547119, acc = 0.90625
Batch 82: loss = 0.2921946048736572, acc = 0.9140625
Batch 83: loss = 0.24588853120803833, acc = 0.9208984375
Batch 84: loss = 0.2675529718399048, acc = 0.9111328125
Batch 85: loss = 0.25927436351776123, acc = 0.904296875
Batch 86: loss = 0.3010522723197937, acc = 0.9072265625
Batch 87: loss = 0.2816527485847473, acc = 0.9150390625
Batch 88: loss = 0.2895396053791046, acc = 0.89453125
Batch 89: loss = 0.25254231691360474, acc = 0.9248046875
Batch 90: loss = 0.2974395751953125, acc = 0.89453125
Batch 91: loss = 0.24060587584972382, acc = 0.923828125
Batch 92: loss = 0.2942065894603729, acc = 0.90234375
Batch 93: loss = 0.25954365730285645, acc = 0.9130859375
Batch 94: loss = 0.26610225439071655, acc = 0.912109375
Batch 95: loss = 0.24269497394561768, acc = 0.9208984375
Batch 96: loss = 0.30624666810035706, acc = 0.8974609375
Batch 97: loss = 0.29448723793029785, acc = 0.9013671875
Batch 98: loss = 0.29089123010635376, acc = 0.9052734375
Batch 99: loss = 0.27992287278175354, acc = 0.904296875
Batch 100: loss = 0.2995825409889221, acc = 0.900390625
Batch 101: loss = 0.2860734760761261, acc = 0.90234375
Batch 102: loss = 0.2632431387901306, acc = 0.919921875
Batch 103: loss = 0.3029848337173462, acc = 0.91015625
Batch 104: loss = 0.2351108193397522, acc = 0.9296875
Batch 105: loss = 0.27455902099609375, acc = 0.9140625
Batch 106: loss = 0.24551144242286682, acc = 0.9140625
Batch 107: loss = 0.28507575392723083, acc = 0.9072265625
Batch 108: loss = 0.2572195827960968, acc = 0.9072265625
Batch 109: loss = 0.2619777321815491, acc = 0.908203125
Batch 110: loss = 0.2466159164905548, acc = 0.9140625
Batch 111: loss = 0.2478141486644745, acc = 0.9140625
Batch 112: loss = 0.2977311611175537, acc = 0.900390625
Batch 113: loss = 0.26713013648986816, acc = 0.9091796875
Batch 114: loss = 0.30716413259506226, acc = 0.89453125
Batch 115: loss = 0.2926810383796692, acc = 0.8994140625
Batch 116: loss = 0.2864445149898529, acc = 0.9052734375
Batch 117: loss = 0.2882377505302429, acc = 0.900390625
Batch 118: loss = 0.24141499400138855, acc = 0.916015625
Batch 119: loss = 0.2698712944984436, acc = 0.91015625
Batch 120: loss = 0.2454817295074463, acc = 0.91015625
Batch 121: loss = 0.2551667094230652, acc = 0.9130859375
Batch 122: loss = 0.2649843096733093, acc = 0.908203125
Batch 123: loss = 0.2428542673587799, acc = 0.9130859375
Batch 124: loss = 0.2800838351249695, acc = 0.89453125
Batch 125: loss = 0.3120849132537842, acc = 0.896484375
Batch 126: loss = 0.2781428098678589, acc = 0.9072265625

Epoch 88/100
Batch 1: loss = 0.3255770206451416, acc = 0.896484375
Batch 2: loss = 0.2691959738731384, acc = 0.9013671875
Batch 3: loss = 0.3165912628173828, acc = 0.8935546875
Batch 4: loss = 0.2644672095775604, acc = 0.9140625
Batch 5: loss = 0.2703658640384674, acc = 0.904296875
Batch 6: loss = 0.2501147985458374, acc = 0.9140625
Batch 7: loss = 0.24492298066616058, acc = 0.9208984375
Batch 8: loss = 0.29040443897247314, acc = 0.908203125
Batch 9: loss = 0.27847129106521606, acc = 0.9111328125
Batch 10: loss = 0.22929900884628296, acc = 0.9140625
Batch 11: loss = 0.28246331214904785, acc = 0.8955078125
Batch 12: loss = 0.24809318780899048, acc = 0.9130859375
Batch 13: loss = 0.24089308083057404, acc = 0.9140625
Batch 14: loss = 0.2882782816886902, acc = 0.912109375
Batch 15: loss = 0.24797837436199188, acc = 0.9140625
Batch 16: loss = 0.2613462209701538, acc = 0.912109375
Batch 17: loss = 0.29341596364974976, acc = 0.8974609375
Batch 18: loss = 0.2632463574409485, acc = 0.9150390625
Batch 19: loss = 0.2668485641479492, acc = 0.91015625
Batch 20: loss = 0.27161356806755066, acc = 0.9052734375
Batch 21: loss = 0.3013707399368286, acc = 0.9013671875
Batch 22: loss = 0.27790185809135437, acc = 0.9140625
Batch 23: loss = 0.3009287118911743, acc = 0.900390625
Batch 24: loss = 0.25690510869026184, acc = 0.908203125
Batch 25: loss = 0.2745923697948456, acc = 0.9189453125
Batch 26: loss = 0.2556367516517639, acc = 0.921875
Batch 27: loss = 0.3157077431678772, acc = 0.8876953125
Batch 28: loss = 0.2676891088485718, acc = 0.916015625
Batch 29: loss = 0.2782488465309143, acc = 0.908203125
Batch 30: loss = 0.2609771192073822, acc = 0.9130859375
Batch 31: loss = 0.24996602535247803, acc = 0.9091796875
Batch 32: loss = 0.28694209456443787, acc = 0.912109375
Batch 33: loss = 0.26245009899139404, acc = 0.919921875
Batch 34: loss = 0.2965264618396759, acc = 0.9033203125
Batch 35: loss = 0.24111680686473846, acc = 0.9248046875
Batch 36: loss = 0.20034703612327576, acc = 0.9345703125
Batch 37: loss = 0.22478239238262177, acc = 0.92578125
Batch 38: loss = 0.24817928671836853, acc = 0.9150390625
Batch 39: loss = 0.22493942081928253, acc = 0.92578125
Batch 40: loss = 0.2475050985813141, acc = 0.9130859375
Batch 41: loss = 0.2566787302494049, acc = 0.908203125
Batch 42: loss = 0.2793954610824585, acc = 0.9072265625
Batch 43: loss = 0.28722667694091797, acc = 0.9033203125
Batch 44: loss = 0.2660906910896301, acc = 0.912109375
Batch 45: loss = 0.23472607135772705, acc = 0.91796875
Batch 46: loss = 0.22879396378993988, acc = 0.923828125
Batch 47: loss = 0.26529666781425476, acc = 0.923828125
Batch 48: loss = 0.2408776730298996, acc = 0.923828125
Batch 49: loss = 0.24802054464817047, acc = 0.919921875
Batch 50: loss = 0.2555501461029053, acc = 0.9169921875
Batch 51: loss = 0.26737460494041443, acc = 0.908203125
Batch 52: loss = 0.2674432396888733, acc = 0.916015625
Batch 53: loss = 0.2527225613594055, acc = 0.919921875
Batch 54: loss = 0.2152971625328064, acc = 0.92578125
Batch 55: loss = 0.2498416155576706, acc = 0.91796875
Batch 56: loss = 0.2351435124874115, acc = 0.9267578125
Batch 57: loss = 0.27424028515815735, acc = 0.9013671875
Batch 58: loss = 0.32778212428092957, acc = 0.890625
Batch 59: loss = 0.2186737060546875, acc = 0.9326171875
Batch 60: loss = 0.23806047439575195, acc = 0.9189453125
Batch 61: loss = 0.20996743440628052, acc = 0.927734375
Batch 62: loss = 0.30112963914871216, acc = 0.89453125
Batch 63: loss = 0.26205435395240784, acc = 0.9091796875
Batch 64: loss = 0.22848063707351685, acc = 0.9267578125
Batch 65: loss = 0.26251018047332764, acc = 0.912109375
Batch 66: loss = 0.24166733026504517, acc = 0.923828125
Batch 67: loss = 0.2441638857126236, acc = 0.9130859375
Batch 68: loss = 0.2529885172843933, acc = 0.9130859375
Batch 69: loss = 0.23074033856391907, acc = 0.92578125
Batch 70: loss = 0.30454501509666443, acc = 0.90234375
Batch 71: loss = 0.2541211247444153, acc = 0.912109375
Batch 72: loss = 0.2539549171924591, acc = 0.919921875
Batch 73: loss = 0.2598567306995392, acc = 0.9208984375
Batch 74: loss = 0.28046196699142456, acc = 0.90234375
Batch 75: loss = 0.3049718737602234, acc = 0.8974609375
Batch 76: loss = 0.3107185661792755, acc = 0.8896484375
Batch 77: loss = 0.2608715295791626, acc = 0.9140625
Batch 78: loss = 0.259758323431015, acc = 0.9091796875
Batch 79: loss = 0.24326588213443756, acc = 0.9208984375
Batch 80: loss = 0.23825249075889587, acc = 0.916015625
Batch 81: loss = 0.2846211791038513, acc = 0.904296875
Batch 82: loss = 0.290097177028656, acc = 0.9052734375
Batch 83: loss = 0.23187395930290222, acc = 0.9228515625
Batch 84: loss = 0.2632042169570923, acc = 0.9111328125
Batch 85: loss = 0.298424631357193, acc = 0.912109375
Batch 86: loss = 0.27236974239349365, acc = 0.900390625
Batch 87: loss = 0.28747615218162537, acc = 0.904296875
Batch 88: loss = 0.26016971468925476, acc = 0.916015625
Batch 89: loss = 0.24837297201156616, acc = 0.91015625
Batch 90: loss = 0.3005019426345825, acc = 0.8955078125
Batch 91: loss = 0.2889593839645386, acc = 0.9072265625
Batch 92: loss = 0.2969319224357605, acc = 0.8935546875
Batch 93: loss = 0.2428845316171646, acc = 0.916015625
Batch 94: loss = 0.24614769220352173, acc = 0.9189453125
Batch 95: loss = 0.2441425919532776, acc = 0.9140625
Batch 96: loss = 0.3120311498641968, acc = 0.8896484375
Batch 97: loss = 0.3031860589981079, acc = 0.900390625
Batch 98: loss = 0.284010648727417, acc = 0.8994140625
Batch 99: loss = 0.2736580967903137, acc = 0.912109375
Batch 100: loss = 0.280562162399292, acc = 0.900390625
Batch 101: loss = 0.27674150466918945, acc = 0.9111328125
Batch 102: loss = 0.27663588523864746, acc = 0.9140625
Batch 103: loss = 0.26041823625564575, acc = 0.91015625
Batch 104: loss = 0.25422173738479614, acc = 0.916015625
Batch 105: loss = 0.24985229969024658, acc = 0.91015625
Batch 106: loss = 0.2264348715543747, acc = 0.92578125
Batch 107: loss = 0.27029648423194885, acc = 0.90625
Batch 108: loss = 0.26592013239860535, acc = 0.904296875
Batch 109: loss = 0.26569101214408875, acc = 0.90625
Batch 110: loss = 0.2641914486885071, acc = 0.9150390625
Batch 111: loss = 0.28636249899864197, acc = 0.90625
Batch 112: loss = 0.2719805836677551, acc = 0.91015625
Batch 113: loss = 0.26450687646865845, acc = 0.9189453125
Batch 114: loss = 0.2791624069213867, acc = 0.9033203125
Batch 115: loss = 0.2778990864753723, acc = 0.8994140625
Batch 116: loss = 0.29871681332588196, acc = 0.9052734375
Batch 117: loss = 0.28438371419906616, acc = 0.912109375
Batch 118: loss = 0.24446260929107666, acc = 0.9111328125
Batch 119: loss = 0.2706388831138611, acc = 0.9033203125
Batch 120: loss = 0.24618247151374817, acc = 0.9150390625
Batch 121: loss = 0.23481538891792297, acc = 0.9208984375
Batch 122: loss = 0.2433377206325531, acc = 0.9208984375
Batch 123: loss = 0.26588091254234314, acc = 0.9072265625
Batch 124: loss = 0.29413098096847534, acc = 0.896484375
Batch 125: loss = 0.2737295925617218, acc = 0.9111328125
Batch 126: loss = 0.294769287109375, acc = 0.88671875

Epoch 89/100
Batch 1: loss = 0.3510056436061859, acc = 0.876953125
Batch 2: loss = 0.2877494692802429, acc = 0.8994140625
Batch 3: loss = 0.3031579256057739, acc = 0.89453125
Batch 4: loss = 0.25407183170318604, acc = 0.9169921875
Batch 5: loss = 0.2873341143131256, acc = 0.896484375
Batch 6: loss = 0.28375086188316345, acc = 0.900390625
Batch 7: loss = 0.2627897262573242, acc = 0.9091796875
Batch 8: loss = 0.2698732614517212, acc = 0.92578125
Batch 9: loss = 0.2701658606529236, acc = 0.9111328125
Batch 10: loss = 0.23815323412418365, acc = 0.921875
Batch 11: loss = 0.25467750430107117, acc = 0.9140625
Batch 12: loss = 0.2625732719898224, acc = 0.9111328125
Batch 13: loss = 0.2804223299026489, acc = 0.9150390625
Batch 14: loss = 0.2754429280757904, acc = 0.9140625
Batch 15: loss = 0.2513084411621094, acc = 0.9140625
Batch 16: loss = 0.24858973920345306, acc = 0.9130859375
Batch 17: loss = 0.2674816846847534, acc = 0.904296875
Batch 18: loss = 0.3015137314796448, acc = 0.9091796875
Batch 19: loss = 0.27245813608169556, acc = 0.908203125
Batch 20: loss = 0.2693721652030945, acc = 0.9052734375
Batch 21: loss = 0.27219077944755554, acc = 0.9033203125
Batch 22: loss = 0.23812294006347656, acc = 0.921875
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Batch 44: loss = 0.25488990545272827, acc = 0.923828125
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Batch 58: loss = 0.27093517780303955, acc = 0.912109375
Batch 59: loss = 0.2166231870651245, acc = 0.921875
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Batch 63: loss = 0.23682478070259094, acc = 0.9267578125
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Batch 71: loss = 0.26407188177108765, acc = 0.9052734375
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Batch 73: loss = 0.2883089780807495, acc = 0.91015625
Batch 74: loss = 0.2673869729042053, acc = 0.9033203125
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Batch 78: loss = 0.22273322939872742, acc = 0.9248046875
Batch 79: loss = 0.2534998953342438, acc = 0.9111328125
Batch 80: loss = 0.2592281699180603, acc = 0.9091796875
Batch 81: loss = 0.292544960975647, acc = 0.8955078125
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Batch 83: loss = 0.25051644444465637, acc = 0.9208984375
Batch 84: loss = 0.30025967955589294, acc = 0.896484375
Batch 85: loss = 0.280687153339386, acc = 0.890625
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Batch 87: loss = 0.25741562247276306, acc = 0.9169921875
Batch 88: loss = 0.2687807083129883, acc = 0.9111328125
Batch 89: loss = 0.24572542309761047, acc = 0.9189453125
Batch 90: loss = 0.2521425485610962, acc = 0.9130859375
Batch 91: loss = 0.2909965515136719, acc = 0.9013671875
Batch 92: loss = 0.29573261737823486, acc = 0.904296875
Batch 93: loss = 0.2530992925167084, acc = 0.9189453125
Batch 94: loss = 0.2591876983642578, acc = 0.912109375
Batch 95: loss = 0.23257337510585785, acc = 0.923828125
Batch 96: loss = 0.28746551275253296, acc = 0.896484375
Batch 97: loss = 0.28708019852638245, acc = 0.900390625
Batch 98: loss = 0.2719149589538574, acc = 0.9052734375
Batch 99: loss = 0.29039597511291504, acc = 0.8955078125
Batch 100: loss = 0.26021772623062134, acc = 0.900390625
Batch 101: loss = 0.24340221285820007, acc = 0.916015625
Batch 102: loss = 0.25519391894340515, acc = 0.9111328125
Batch 103: loss = 0.28514933586120605, acc = 0.904296875
Batch 104: loss = 0.2400399148464203, acc = 0.9111328125
Batch 105: loss = 0.23785969614982605, acc = 0.91796875
Batch 106: loss = 0.24905553460121155, acc = 0.923828125
Batch 107: loss = 0.264887273311615, acc = 0.900390625
Batch 108: loss = 0.25479480624198914, acc = 0.9072265625
Batch 109: loss = 0.2352096438407898, acc = 0.921875
Batch 110: loss = 0.24275711178779602, acc = 0.9208984375
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Batch 112: loss = 0.26690346002578735, acc = 0.9140625
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Batch 114: loss = 0.26708874106407166, acc = 0.9091796875
Batch 115: loss = 0.2703690528869629, acc = 0.91015625
Batch 116: loss = 0.2620629668235779, acc = 0.90625
Batch 117: loss = 0.2789168655872345, acc = 0.91015625
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Batch 119: loss = 0.25680214166641235, acc = 0.9189453125
Batch 120: loss = 0.24479396641254425, acc = 0.916015625
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Batch 124: loss = 0.2934877276420593, acc = 0.89453125
Batch 125: loss = 0.2783718407154083, acc = 0.908203125
Batch 126: loss = 0.2608337998390198, acc = 0.9150390625

Epoch 90/100
Batch 1: loss = 0.3403363525867462, acc = 0.89453125
Batch 2: loss = 0.32070839405059814, acc = 0.888671875
Batch 3: loss = 0.2836649417877197, acc = 0.8984375
Batch 4: loss = 0.25204700231552124, acc = 0.9169921875
Batch 5: loss = 0.29482585191726685, acc = 0.8984375
Batch 6: loss = 0.2782285809516907, acc = 0.912109375
Batch 7: loss = 0.2569209039211273, acc = 0.9130859375
Batch 8: loss = 0.2718741297721863, acc = 0.908203125
Batch 9: loss = 0.2601851522922516, acc = 0.91796875
Batch 10: loss = 0.23346279561519623, acc = 0.9248046875
Batch 11: loss = 0.2490551918745041, acc = 0.9208984375
Batch 12: loss = 0.22939766943454742, acc = 0.9296875
Batch 13: loss = 0.2254696488380432, acc = 0.9267578125
Batch 14: loss = 0.2577955424785614, acc = 0.9228515625
Batch 15: loss = 0.25460144877433777, acc = 0.9111328125
Batch 16: loss = 0.25625133514404297, acc = 0.9140625
Batch 17: loss = 0.282890260219574, acc = 0.89453125
Batch 18: loss = 0.272854208946228, acc = 0.9111328125
Batch 19: loss = 0.2557620704174042, acc = 0.9189453125
Batch 20: loss = 0.25950515270233154, acc = 0.90234375
Batch 21: loss = 0.30717718601226807, acc = 0.8935546875
Batch 22: loss = 0.27737122774124146, acc = 0.9033203125
Batch 23: loss = 0.2630537152290344, acc = 0.912109375
Batch 24: loss = 0.2695958912372589, acc = 0.91796875
Batch 25: loss = 0.2613387107849121, acc = 0.9091796875
Batch 26: loss = 0.2557131052017212, acc = 0.9130859375
Batch 27: loss = 0.31104642152786255, acc = 0.896484375
Batch 28: loss = 0.2727507948875427, acc = 0.8994140625
Batch 29: loss = 0.2928698658943176, acc = 0.8984375
Batch 30: loss = 0.26504677534103394, acc = 0.9072265625
Batch 31: loss = 0.2805224657058716, acc = 0.8994140625
Batch 32: loss = 0.29688775539398193, acc = 0.90234375
Batch 33: loss = 0.2380637228488922, acc = 0.9169921875
Batch 34: loss = 0.30822622776031494, acc = 0.88671875
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Batch 37: loss = 0.21919509768486023, acc = 0.9296875
Batch 38: loss = 0.2413073182106018, acc = 0.912109375
Batch 39: loss = 0.22361281514167786, acc = 0.9248046875
Batch 40: loss = 0.2489272952079773, acc = 0.9130859375
Batch 41: loss = 0.2223787158727646, acc = 0.9189453125
Batch 42: loss = 0.2632024586200714, acc = 0.9169921875
Batch 43: loss = 0.25035348534584045, acc = 0.9111328125
Batch 44: loss = 0.274772584438324, acc = 0.908203125
Batch 45: loss = 0.22881999611854553, acc = 0.927734375
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Batch 47: loss = 0.23713350296020508, acc = 0.927734375
Batch 48: loss = 0.2303330898284912, acc = 0.9111328125
Batch 49: loss = 0.22806301712989807, acc = 0.923828125
Batch 50: loss = 0.2463085800409317, acc = 0.921875
Batch 51: loss = 0.27450546622276306, acc = 0.904296875
Batch 52: loss = 0.23662248253822327, acc = 0.923828125
Batch 53: loss = 0.27277207374572754, acc = 0.90234375
Batch 54: loss = 0.2459704577922821, acc = 0.9208984375
Batch 55: loss = 0.2432488203048706, acc = 0.9150390625
Batch 56: loss = 0.2744901180267334, acc = 0.9052734375
Batch 57: loss = 0.27077412605285645, acc = 0.904296875
Batch 58: loss = 0.26255854964256287, acc = 0.9130859375
Batch 59: loss = 0.23602458834648132, acc = 0.9228515625
Batch 60: loss = 0.25760766863822937, acc = 0.919921875
Batch 61: loss = 0.22911028563976288, acc = 0.9296875
Batch 62: loss = 0.2602103650569916, acc = 0.912109375
Batch 63: loss = 0.2238221913576126, acc = 0.91796875
Batch 64: loss = 0.2366807460784912, acc = 0.921875
Batch 65: loss = 0.24871611595153809, acc = 0.90625
Batch 66: loss = 0.26735299825668335, acc = 0.9111328125
Batch 67: loss = 0.26166629791259766, acc = 0.91015625
Batch 68: loss = 0.2741837501525879, acc = 0.896484375
Batch 69: loss = 0.21725812554359436, acc = 0.927734375
Batch 70: loss = 0.268541157245636, acc = 0.9169921875
Batch 71: loss = 0.292385458946228, acc = 0.9072265625
Batch 72: loss = 0.246632382273674, acc = 0.91796875
Batch 73: loss = 0.26548993587493896, acc = 0.9091796875
Batch 74: loss = 0.28505218029022217, acc = 0.90234375
Batch 75: loss = 0.29671138525009155, acc = 0.8916015625
Batch 76: loss = 0.2790791094303131, acc = 0.9072265625
Batch 77: loss = 0.26984041929244995, acc = 0.90625
Batch 78: loss = 0.2637001872062683, acc = 0.9140625
Batch 79: loss = 0.24920746684074402, acc = 0.916015625
Batch 80: loss = 0.22871841490268707, acc = 0.919921875
Batch 81: loss = 0.2781088352203369, acc = 0.9111328125
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Batch 83: loss = 0.2696444094181061, acc = 0.916015625
Batch 84: loss = 0.257599413394928, acc = 0.9130859375
Batch 85: loss = 0.2950405776500702, acc = 0.8994140625
Batch 86: loss = 0.2788931131362915, acc = 0.91015625
Batch 87: loss = 0.2700333893299103, acc = 0.908203125
Batch 88: loss = 0.3072177469730377, acc = 0.884765625
Batch 89: loss = 0.25204136967658997, acc = 0.9150390625
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Batch 93: loss = 0.23897987604141235, acc = 0.9140625
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Batch 95: loss = 0.20195838809013367, acc = 0.9326171875
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Batch 98: loss = 0.291647732257843, acc = 0.9052734375
Batch 99: loss = 0.2650775909423828, acc = 0.8974609375
Batch 100: loss = 0.28597596287727356, acc = 0.8974609375
Batch 101: loss = 0.29244786500930786, acc = 0.8974609375
Batch 102: loss = 0.26780933141708374, acc = 0.9111328125
Batch 103: loss = 0.297822505235672, acc = 0.8935546875
Batch 104: loss = 0.23317860066890717, acc = 0.9267578125
Batch 105: loss = 0.25236010551452637, acc = 0.91796875
Batch 106: loss = 0.26648592948913574, acc = 0.9091796875
Batch 107: loss = 0.2373914122581482, acc = 0.919921875
Batch 108: loss = 0.29072630405426025, acc = 0.8974609375
Batch 109: loss = 0.27756163477897644, acc = 0.9033203125
Batch 110: loss = 0.23568406701087952, acc = 0.9296875
Batch 111: loss = 0.3009667992591858, acc = 0.900390625
Batch 112: loss = 0.25656747817993164, acc = 0.919921875
Batch 113: loss = 0.24807852506637573, acc = 0.91796875
Batch 114: loss = 0.2751005291938782, acc = 0.9111328125
Batch 115: loss = 0.26533547043800354, acc = 0.908203125
Batch 116: loss = 0.2737286388874054, acc = 0.90234375
Batch 117: loss = 0.2644217610359192, acc = 0.91015625
Batch 118: loss = 0.24912460148334503, acc = 0.9033203125
Batch 119: loss = 0.2506678104400635, acc = 0.9189453125
Batch 120: loss = 0.2281164973974228, acc = 0.923828125
Batch 121: loss = 0.25641751289367676, acc = 0.908203125
Batch 122: loss = 0.24881647527217865, acc = 0.91796875
Batch 123: loss = 0.27163875102996826, acc = 0.9013671875
Batch 124: loss = 0.30542582273483276, acc = 0.8857421875
Batch 125: loss = 0.2615216374397278, acc = 0.9072265625
Batch 126: loss = 0.27190834283828735, acc = 0.9140625
Saved checkpoint to weights.90.h5

Epoch 91/100
Batch 1: loss = 0.322314977645874, acc = 0.9052734375
Batch 2: loss = 0.2735022306442261, acc = 0.90234375
Batch 3: loss = 0.24097248911857605, acc = 0.91796875
Batch 4: loss = 0.2840065062046051, acc = 0.908203125
Batch 5: loss = 0.29069310426712036, acc = 0.90625
Batch 6: loss = 0.2581923007965088, acc = 0.9150390625
Batch 7: loss = 0.2686895728111267, acc = 0.90625
Batch 8: loss = 0.28399401903152466, acc = 0.9072265625
Batch 9: loss = 0.280738890171051, acc = 0.904296875
Batch 10: loss = 0.23805689811706543, acc = 0.9111328125
Batch 11: loss = 0.2901118993759155, acc = 0.900390625
Batch 12: loss = 0.2540740966796875, acc = 0.9150390625
Batch 13: loss = 0.218645378947258, acc = 0.92578125
Batch 14: loss = 0.22969424724578857, acc = 0.9267578125
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Batch 17: loss = 0.26228827238082886, acc = 0.904296875
Batch 18: loss = 0.276003360748291, acc = 0.9033203125
Batch 19: loss = 0.2369871437549591, acc = 0.9208984375
Batch 20: loss = 0.2649036645889282, acc = 0.9111328125
Batch 21: loss = 0.2701682448387146, acc = 0.912109375
Batch 22: loss = 0.24797070026397705, acc = 0.912109375
Batch 23: loss = 0.28790873289108276, acc = 0.8974609375
Batch 24: loss = 0.2601643204689026, acc = 0.9013671875
Batch 25: loss = 0.266471266746521, acc = 0.9033203125
Batch 26: loss = 0.24842503666877747, acc = 0.9111328125
Batch 27: loss = 0.27395230531692505, acc = 0.9091796875
Batch 28: loss = 0.2955396771430969, acc = 0.90234375
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Batch 30: loss = 0.275085985660553, acc = 0.9091796875
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Batch 32: loss = 0.3090420961380005, acc = 0.904296875
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Batch 42: loss = 0.2635006606578827, acc = 0.912109375
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Batch 51: loss = 0.24289296567440033, acc = 0.916015625
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Batch 68: loss = 0.2616749405860901, acc = 0.9169921875
Batch 69: loss = 0.23373907804489136, acc = 0.9306640625
Batch 70: loss = 0.2786228358745575, acc = 0.9052734375
Batch 71: loss = 0.23761481046676636, acc = 0.921875
Batch 72: loss = 0.24318131804466248, acc = 0.916015625
Batch 73: loss = 0.28887325525283813, acc = 0.908203125
Batch 74: loss = 0.25578808784484863, acc = 0.912109375
Batch 75: loss = 0.2958768606185913, acc = 0.8994140625
Batch 76: loss = 0.2786449193954468, acc = 0.9013671875
Batch 77: loss = 0.25029370188713074, acc = 0.9140625
Batch 78: loss = 0.24993637204170227, acc = 0.9150390625
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Batch 81: loss = 0.25157618522644043, acc = 0.9150390625
Batch 82: loss = 0.27178382873535156, acc = 0.9111328125
Batch 83: loss = 0.2582521140575409, acc = 0.9140625
Batch 84: loss = 0.27733972668647766, acc = 0.9072265625
Batch 85: loss = 0.2534724175930023, acc = 0.912109375
Batch 86: loss = 0.25695812702178955, acc = 0.919921875
Batch 87: loss = 0.26704201102256775, acc = 0.9228515625
Batch 88: loss = 0.26938244700431824, acc = 0.9033203125
Batch 89: loss = 0.25362420082092285, acc = 0.9052734375
Batch 90: loss = 0.2935929298400879, acc = 0.888671875
Batch 91: loss = 0.2857144773006439, acc = 0.9033203125
Batch 92: loss = 0.2649916410446167, acc = 0.9111328125
Batch 93: loss = 0.23564621806144714, acc = 0.9326171875
Batch 94: loss = 0.23433096706867218, acc = 0.9169921875
Batch 95: loss = 0.22794358432292938, acc = 0.9208984375
Batch 96: loss = 0.28504449129104614, acc = 0.9072265625
Batch 97: loss = 0.2799680829048157, acc = 0.916015625
Batch 98: loss = 0.28562021255493164, acc = 0.9072265625
Batch 99: loss = 0.27886611223220825, acc = 0.9072265625
Batch 100: loss = 0.28252485394477844, acc = 0.8955078125
Batch 101: loss = 0.24231046438217163, acc = 0.916015625
Batch 102: loss = 0.27904805541038513, acc = 0.90625
Batch 103: loss = 0.26674264669418335, acc = 0.916015625
Batch 104: loss = 0.24755850434303284, acc = 0.91015625
Batch 105: loss = 0.27038782835006714, acc = 0.8994140625
Batch 106: loss = 0.24489687383174896, acc = 0.9140625
Batch 107: loss = 0.24459578096866608, acc = 0.9091796875
Batch 108: loss = 0.24892908334732056, acc = 0.9072265625
Batch 109: loss = 0.22556567192077637, acc = 0.9208984375
Batch 110: loss = 0.2544551491737366, acc = 0.912109375
Batch 111: loss = 0.2989453077316284, acc = 0.89453125
Batch 112: loss = 0.2585813105106354, acc = 0.9150390625
Batch 113: loss = 0.2775731086730957, acc = 0.90234375
Batch 114: loss = 0.3109937608242035, acc = 0.892578125
Batch 115: loss = 0.2664497196674347, acc = 0.9072265625
Batch 116: loss = 0.29897284507751465, acc = 0.8935546875
Batch 117: loss = 0.26619353890419006, acc = 0.912109375
Batch 118: loss = 0.2357533723115921, acc = 0.923828125
Batch 119: loss = 0.23748520016670227, acc = 0.9208984375
Batch 120: loss = 0.2189256250858307, acc = 0.9208984375
Batch 121: loss = 0.2467755675315857, acc = 0.9189453125
Batch 122: loss = 0.2751029133796692, acc = 0.904296875
Batch 123: loss = 0.24586910009384155, acc = 0.9140625
Batch 124: loss = 0.2618213891983032, acc = 0.904296875
Batch 125: loss = 0.2879467010498047, acc = 0.9013671875
Batch 126: loss = 0.2847961187362671, acc = 0.8955078125

Epoch 92/100
Batch 1: loss = 0.31953510642051697, acc = 0.8935546875
Batch 2: loss = 0.30065250396728516, acc = 0.8955078125
Batch 3: loss = 0.25313758850097656, acc = 0.9169921875
Batch 4: loss = 0.2502079904079437, acc = 0.9150390625
Batch 5: loss = 0.27000999450683594, acc = 0.9111328125
Batch 6: loss = 0.25036877393722534, acc = 0.9169921875
Batch 7: loss = 0.24969735741615295, acc = 0.9130859375
Batch 8: loss = 0.2597741186618805, acc = 0.9052734375
Batch 9: loss = 0.24331513047218323, acc = 0.9189453125
Batch 10: loss = 0.22058528661727905, acc = 0.9150390625
Batch 11: loss = 0.2657615542411804, acc = 0.9091796875
Batch 12: loss = 0.248853400349617, acc = 0.91796875
Batch 13: loss = 0.24051837623119354, acc = 0.9140625
Batch 14: loss = 0.2556317448616028, acc = 0.92578125
Batch 15: loss = 0.26555365324020386, acc = 0.912109375
Batch 16: loss = 0.2576264441013336, acc = 0.91015625
Batch 17: loss = 0.24584445357322693, acc = 0.9208984375
Batch 18: loss = 0.29708951711654663, acc = 0.8935546875
Batch 19: loss = 0.2699197828769684, acc = 0.9111328125
Batch 20: loss = 0.28339681029319763, acc = 0.896484375
Batch 21: loss = 0.24732951819896698, acc = 0.9072265625
Batch 22: loss = 0.23465293645858765, acc = 0.9248046875
Batch 23: loss = 0.2702151834964752, acc = 0.9140625
Batch 24: loss = 0.26233595609664917, acc = 0.90625
Batch 25: loss = 0.2577551603317261, acc = 0.9208984375
Batch 26: loss = 0.27442023158073425, acc = 0.912109375
Batch 27: loss = 0.27882120013237, acc = 0.892578125
Batch 28: loss = 0.2821890413761139, acc = 0.9091796875
Batch 29: loss = 0.24545136094093323, acc = 0.9189453125
Batch 30: loss = 0.22227366268634796, acc = 0.9248046875
Batch 31: loss = 0.2761956453323364, acc = 0.9033203125
Batch 32: loss = 0.2790588438510895, acc = 0.90625
Batch 33: loss = 0.24389810860157013, acc = 0.916015625
Batch 34: loss = 0.2708889842033386, acc = 0.904296875
Batch 35: loss = 0.2728714346885681, acc = 0.9072265625
Batch 36: loss = 0.23706117272377014, acc = 0.9208984375
Batch 37: loss = 0.20981717109680176, acc = 0.931640625
Batch 38: loss = 0.24595719575881958, acc = 0.9140625
Batch 39: loss = 0.22984986007213593, acc = 0.9267578125
Batch 40: loss = 0.23274783790111542, acc = 0.921875
Batch 41: loss = 0.2440170794725418, acc = 0.91796875
Batch 42: loss = 0.23692382872104645, acc = 0.923828125
Batch 43: loss = 0.26201754808425903, acc = 0.908203125
Batch 44: loss = 0.2164497673511505, acc = 0.9296875
Batch 45: loss = 0.24405258893966675, acc = 0.9140625
Batch 46: loss = 0.20459648966789246, acc = 0.9326171875
Batch 47: loss = 0.27053189277648926, acc = 0.91015625
Batch 48: loss = 0.2485453486442566, acc = 0.9228515625
Batch 49: loss = 0.23016700148582458, acc = 0.927734375
Batch 50: loss = 0.23449137806892395, acc = 0.9287109375
Batch 51: loss = 0.26340189576148987, acc = 0.90234375
Batch 52: loss = 0.26965129375457764, acc = 0.90625
Batch 53: loss = 0.2607174217700958, acc = 0.919921875
Batch 54: loss = 0.20099617540836334, acc = 0.9228515625
Batch 55: loss = 0.21322301030158997, acc = 0.92578125
Batch 56: loss = 0.23882164061069489, acc = 0.9189453125
Batch 57: loss = 0.2743985056877136, acc = 0.9033203125
Batch 58: loss = 0.2571191191673279, acc = 0.904296875
Batch 59: loss = 0.2181728184223175, acc = 0.9296875
Batch 60: loss = 0.275043785572052, acc = 0.90234375
Batch 61: loss = 0.23123785853385925, acc = 0.9208984375
Batch 62: loss = 0.2730463147163391, acc = 0.8974609375
Batch 63: loss = 0.25156813859939575, acc = 0.9140625
Batch 64: loss = 0.22005154192447662, acc = 0.9267578125
Batch 65: loss = 0.24550998210906982, acc = 0.912109375
Batch 66: loss = 0.23774030804634094, acc = 0.927734375
Batch 67: loss = 0.2467433512210846, acc = 0.9150390625
Batch 68: loss = 0.2745131850242615, acc = 0.9072265625
Batch 69: loss = 0.24865317344665527, acc = 0.9130859375
Batch 70: loss = 0.2779858410358429, acc = 0.9130859375
Batch 71: loss = 0.26867592334747314, acc = 0.91015625
Batch 72: loss = 0.2403164803981781, acc = 0.919921875
Batch 73: loss = 0.27961307764053345, acc = 0.9033203125
Batch 74: loss = 0.28530821204185486, acc = 0.896484375
Batch 75: loss = 0.309562087059021, acc = 0.8896484375
Batch 76: loss = 0.2573913335800171, acc = 0.9072265625
Batch 77: loss = 0.22969244420528412, acc = 0.927734375
Batch 78: loss = 0.2728503942489624, acc = 0.908203125
Batch 79: loss = 0.23011481761932373, acc = 0.9208984375
Batch 80: loss = 0.23060326278209686, acc = 0.9228515625
Batch 81: loss = 0.27917081117630005, acc = 0.9150390625
Batch 82: loss = 0.27479496598243713, acc = 0.91015625
Batch 83: loss = 0.22439618408679962, acc = 0.9208984375
Batch 84: loss = 0.27587443590164185, acc = 0.91015625
Batch 85: loss = 0.3040269613265991, acc = 0.892578125
Batch 86: loss = 0.27094802260398865, acc = 0.9091796875
Batch 87: loss = 0.2692751884460449, acc = 0.9091796875
Batch 88: loss = 0.27985823154449463, acc = 0.9013671875
Batch 89: loss = 0.2702961266040802, acc = 0.90625
Batch 90: loss = 0.26605233550071716, acc = 0.9130859375
Batch 91: loss = 0.2616546154022217, acc = 0.9140625
Batch 92: loss = 0.30442723631858826, acc = 0.9033203125
Batch 93: loss = 0.24637965857982635, acc = 0.919921875
Batch 94: loss = 0.24410787224769592, acc = 0.923828125
Batch 95: loss = 0.21102461218833923, acc = 0.923828125
Batch 96: loss = 0.23163017630577087, acc = 0.9208984375
Batch 97: loss = 0.26499974727630615, acc = 0.9150390625
Batch 98: loss = 0.24540257453918457, acc = 0.916015625
Batch 99: loss = 0.2442125678062439, acc = 0.9169921875
Batch 100: loss = 0.26504454016685486, acc = 0.9169921875
Batch 101: loss = 0.26298463344573975, acc = 0.912109375
Batch 102: loss = 0.2691235840320587, acc = 0.912109375
Batch 103: loss = 0.2639602720737457, acc = 0.916015625
Batch 104: loss = 0.24093930423259735, acc = 0.92578125
Batch 105: loss = 0.2552565336227417, acc = 0.9130859375
Batch 106: loss = 0.2249831110239029, acc = 0.916015625
Batch 107: loss = 0.245693638920784, acc = 0.908203125
Batch 108: loss = 0.24292731285095215, acc = 0.912109375
Batch 109: loss = 0.24745319783687592, acc = 0.9140625
Batch 110: loss = 0.25652632117271423, acc = 0.916015625
Batch 111: loss = 0.2634716331958771, acc = 0.9140625
Batch 112: loss = 0.26090845465660095, acc = 0.9169921875
Batch 113: loss = 0.25256839394569397, acc = 0.912109375
Batch 114: loss = 0.2974197268486023, acc = 0.904296875
Batch 115: loss = 0.28737834095954895, acc = 0.90234375
Batch 116: loss = 0.2805374264717102, acc = 0.9013671875
Batch 117: loss = 0.2771952748298645, acc = 0.908203125
Batch 118: loss = 0.23736552894115448, acc = 0.921875
Batch 119: loss = 0.22407950460910797, acc = 0.916015625
Batch 120: loss = 0.2390613555908203, acc = 0.9140625
Batch 121: loss = 0.2413744181394577, acc = 0.912109375
Batch 122: loss = 0.25308191776275635, acc = 0.9169921875
Batch 123: loss = 0.26069504022598267, acc = 0.9140625
Batch 124: loss = 0.25919604301452637, acc = 0.91015625
Batch 125: loss = 0.2684289216995239, acc = 0.8984375
Batch 126: loss = 0.26531267166137695, acc = 0.9052734375

Epoch 93/100
Batch 1: loss = 0.3160443902015686, acc = 0.912109375
Batch 2: loss = 0.3148329257965088, acc = 0.880859375
Batch 3: loss = 0.27604740858078003, acc = 0.9033203125
Batch 4: loss = 0.23823705315589905, acc = 0.93359375
Batch 5: loss = 0.2644926905632019, acc = 0.916015625
Batch 6: loss = 0.2881264388561249, acc = 0.908203125
Batch 7: loss = 0.264941930770874, acc = 0.9111328125
Batch 8: loss = 0.26967886090278625, acc = 0.9130859375
Batch 9: loss = 0.2645822763442993, acc = 0.912109375
Batch 10: loss = 0.24084238708019257, acc = 0.9228515625
Batch 11: loss = 0.23107591271400452, acc = 0.908203125
Batch 12: loss = 0.250280499458313, acc = 0.912109375
Batch 13: loss = 0.2311374843120575, acc = 0.9169921875
Batch 14: loss = 0.24471499025821686, acc = 0.9248046875
Batch 15: loss = 0.2518777549266815, acc = 0.9208984375
Batch 16: loss = 0.24273443222045898, acc = 0.92578125
Batch 17: loss = 0.23950253427028656, acc = 0.9130859375
Batch 18: loss = 0.2646591365337372, acc = 0.90625
Batch 19: loss = 0.2530454397201538, acc = 0.912109375
Batch 20: loss = 0.26720350980758667, acc = 0.916015625
Batch 21: loss = 0.27222782373428345, acc = 0.91015625
Batch 22: loss = 0.2557310461997986, acc = 0.9150390625
Batch 23: loss = 0.2887900173664093, acc = 0.8974609375
Batch 24: loss = 0.24656209349632263, acc = 0.9140625
Batch 25: loss = 0.24391724169254303, acc = 0.9169921875
Batch 26: loss = 0.2364269495010376, acc = 0.919921875
Batch 27: loss = 0.2749123275279999, acc = 0.8935546875
Batch 28: loss = 0.2614777982234955, acc = 0.916015625
Batch 29: loss = 0.2849726676940918, acc = 0.9052734375
Batch 30: loss = 0.290804922580719, acc = 0.9130859375
Batch 31: loss = 0.27556341886520386, acc = 0.8994140625
Batch 32: loss = 0.3221539258956909, acc = 0.8896484375
Batch 33: loss = 0.2297011911869049, acc = 0.927734375
Batch 34: loss = 0.26064231991767883, acc = 0.91796875
Batch 35: loss = 0.27457571029663086, acc = 0.9189453125
Batch 36: loss = 0.23825830221176147, acc = 0.92578125
Batch 37: loss = 0.2250293642282486, acc = 0.9248046875
Batch 38: loss = 0.2716851830482483, acc = 0.91015625
Batch 39: loss = 0.2176123410463333, acc = 0.9296875
Batch 40: loss = 0.23731955885887146, acc = 0.912109375
Batch 41: loss = 0.23976252973079681, acc = 0.9150390625
Batch 42: loss = 0.273769736289978, acc = 0.916015625
Batch 43: loss = 0.2661568820476532, acc = 0.9033203125
Batch 44: loss = 0.23663783073425293, acc = 0.9189453125
Batch 45: loss = 0.24443462491035461, acc = 0.9169921875
Batch 46: loss = 0.21282438933849335, acc = 0.9306640625
Batch 47: loss = 0.2453431785106659, acc = 0.9248046875
Batch 48: loss = 0.23080459237098694, acc = 0.9248046875
Batch 49: loss = 0.22612875699996948, acc = 0.9228515625
Batch 50: loss = 0.23612716794013977, acc = 0.921875
Batch 51: loss = 0.2614902853965759, acc = 0.9072265625
Batch 52: loss = 0.2550106942653656, acc = 0.91015625
Batch 53: loss = 0.2576809525489807, acc = 0.9130859375
Batch 54: loss = 0.22530782222747803, acc = 0.9130859375
Batch 55: loss = 0.2216767966747284, acc = 0.919921875
Batch 56: loss = 0.2552978992462158, acc = 0.912109375
Batch 57: loss = 0.2732903063297272, acc = 0.908203125
Batch 58: loss = 0.26262956857681274, acc = 0.9111328125
Batch 59: loss = 0.1966192126274109, acc = 0.9365234375
Batch 60: loss = 0.23899440467357635, acc = 0.9228515625
Batch 61: loss = 0.2490757405757904, acc = 0.919921875
Batch 62: loss = 0.26749640703201294, acc = 0.9013671875
Batch 63: loss = 0.24281011521816254, acc = 0.9150390625
Batch 64: loss = 0.22387468814849854, acc = 0.9228515625
Batch 65: loss = 0.2460322380065918, acc = 0.91796875
Batch 66: loss = 0.25818392634391785, acc = 0.9228515625
Batch 67: loss = 0.22928404808044434, acc = 0.921875
Batch 68: loss = 0.25416100025177, acc = 0.912109375
Batch 69: loss = 0.24559104442596436, acc = 0.9150390625
Batch 70: loss = 0.2504820227622986, acc = 0.9208984375
Batch 71: loss = 0.2695239186286926, acc = 0.9091796875
Batch 72: loss = 0.2598468065261841, acc = 0.916015625
Batch 73: loss = 0.2653741240501404, acc = 0.9091796875
Batch 74: loss = 0.2605637311935425, acc = 0.9130859375
Batch 75: loss = 0.27180951833724976, acc = 0.9072265625
Batch 76: loss = 0.24922332167625427, acc = 0.916015625
Batch 77: loss = 0.20980903506278992, acc = 0.9287109375
Batch 78: loss = 0.25324785709381104, acc = 0.908203125
Batch 79: loss = 0.2804814577102661, acc = 0.908203125
Batch 80: loss = 0.24401883780956268, acc = 0.91015625
Batch 81: loss = 0.25897374749183655, acc = 0.91015625
Batch 82: loss = 0.270982027053833, acc = 0.90625
Batch 83: loss = 0.267548143863678, acc = 0.912109375
Batch 84: loss = 0.2606114149093628, acc = 0.912109375
Batch 85: loss = 0.2704410254955292, acc = 0.904296875
Batch 86: loss = 0.26440879702568054, acc = 0.904296875
Batch 87: loss = 0.23422947525978088, acc = 0.9228515625
Batch 88: loss = 0.2755456566810608, acc = 0.8984375
Batch 89: loss = 0.24799634516239166, acc = 0.919921875
Batch 90: loss = 0.2506730556488037, acc = 0.91015625
Batch 91: loss = 0.281074583530426, acc = 0.9013671875
Batch 92: loss = 0.2654706537723541, acc = 0.9111328125
Batch 93: loss = 0.2574861943721771, acc = 0.908203125
Batch 94: loss = 0.21834802627563477, acc = 0.931640625
Batch 95: loss = 0.24507009983062744, acc = 0.91796875
Batch 96: loss = 0.2773553133010864, acc = 0.916015625
Batch 97: loss = 0.2670784592628479, acc = 0.90625
Batch 98: loss = 0.27102118730545044, acc = 0.908203125
Batch 99: loss = 0.27915701270103455, acc = 0.9140625
Batch 100: loss = 0.2671091556549072, acc = 0.9140625
Batch 101: loss = 0.254958838224411, acc = 0.9091796875
Batch 102: loss = 0.2835291922092438, acc = 0.8994140625
Batch 103: loss = 0.2542084753513336, acc = 0.91015625
Batch 104: loss = 0.25343382358551025, acc = 0.91015625
Batch 105: loss = 0.21942496299743652, acc = 0.923828125
Batch 106: loss = 0.3006291687488556, acc = 0.896484375
Batch 107: loss = 0.2652761936187744, acc = 0.91015625
Batch 108: loss = 0.2278810292482376, acc = 0.921875
Batch 109: loss = 0.26674729585647583, acc = 0.912109375
Batch 110: loss = 0.22595803439617157, acc = 0.9326171875
Batch 111: loss = 0.25349754095077515, acc = 0.919921875
Batch 112: loss = 0.28853821754455566, acc = 0.9052734375
Batch 113: loss = 0.24141591787338257, acc = 0.9189453125
Batch 114: loss = 0.2892341613769531, acc = 0.90625
Batch 115: loss = 0.2696191072463989, acc = 0.9072265625
Batch 116: loss = 0.25819361209869385, acc = 0.90625
Batch 117: loss = 0.2427998185157776, acc = 0.916015625
Batch 118: loss = 0.28668713569641113, acc = 0.90234375
Batch 119: loss = 0.21600933372974396, acc = 0.9287109375
Batch 120: loss = 0.23911447823047638, acc = 0.923828125
Batch 121: loss = 0.2386089563369751, acc = 0.912109375
Batch 122: loss = 0.25321435928344727, acc = 0.9111328125
Batch 123: loss = 0.2537044584751129, acc = 0.9091796875
Batch 124: loss = 0.2811993956565857, acc = 0.9013671875
Batch 125: loss = 0.27047330141067505, acc = 0.9169921875
Batch 126: loss = 0.28724199533462524, acc = 0.90625

Epoch 94/100
Batch 1: loss = 0.30859458446502686, acc = 0.908203125
Batch 2: loss = 0.2828158438205719, acc = 0.9072265625
Batch 3: loss = 0.25649166107177734, acc = 0.91796875
Batch 4: loss = 0.25115907192230225, acc = 0.9140625
Batch 5: loss = 0.2798900604248047, acc = 0.9033203125
Batch 6: loss = 0.2541312575340271, acc = 0.9130859375
Batch 7: loss = 0.2506565451622009, acc = 0.9072265625
Batch 8: loss = 0.24371063709259033, acc = 0.923828125
Batch 9: loss = 0.2647210657596588, acc = 0.9169921875
Batch 10: loss = 0.2554211914539337, acc = 0.9052734375
Batch 11: loss = 0.23248091340065002, acc = 0.9169921875
Batch 12: loss = 0.25080278515815735, acc = 0.91015625
Batch 13: loss = 0.26962339878082275, acc = 0.912109375
Batch 14: loss = 0.25785112380981445, acc = 0.9208984375
Batch 15: loss = 0.2137904316186905, acc = 0.923828125
Batch 16: loss = 0.25136619806289673, acc = 0.9140625
Batch 17: loss = 0.2851186990737915, acc = 0.9033203125
Batch 18: loss = 0.2811689078807831, acc = 0.904296875
Batch 19: loss = 0.24551665782928467, acc = 0.91796875
Batch 20: loss = 0.2294648140668869, acc = 0.9150390625
Batch 21: loss = 0.25932997465133667, acc = 0.912109375
Batch 22: loss = 0.2639427185058594, acc = 0.919921875
Batch 23: loss = 0.2614496350288391, acc = 0.9072265625
Batch 24: loss = 0.24854496121406555, acc = 0.916015625
Batch 25: loss = 0.22919082641601562, acc = 0.923828125
Batch 26: loss = 0.2487305998802185, acc = 0.9208984375
Batch 27: loss = 0.32000476121902466, acc = 0.8916015625
Batch 28: loss = 0.2650884985923767, acc = 0.9033203125
Batch 29: loss = 0.2534518539905548, acc = 0.9150390625
Batch 30: loss = 0.2570062279701233, acc = 0.9130859375
Batch 31: loss = 0.267543762922287, acc = 0.9091796875
Batch 32: loss = 0.29510176181793213, acc = 0.8984375
Batch 33: loss = 0.246810644865036, acc = 0.919921875
Batch 34: loss = 0.3017699718475342, acc = 0.896484375
Batch 35: loss = 0.24254629015922546, acc = 0.919921875
Batch 36: loss = 0.20332381129264832, acc = 0.93359375
Batch 37: loss = 0.21514827013015747, acc = 0.92578125
Batch 38: loss = 0.2397570163011551, acc = 0.912109375
Batch 39: loss = 0.2334311455488205, acc = 0.92578125
Batch 40: loss = 0.23625296354293823, acc = 0.9287109375
Batch 41: loss = 0.2295633852481842, acc = 0.9189453125
Batch 42: loss = 0.25345781445503235, acc = 0.9111328125
Batch 43: loss = 0.281428724527359, acc = 0.8994140625
Batch 44: loss = 0.2053111493587494, acc = 0.9384765625
Batch 45: loss = 0.24976135790348053, acc = 0.919921875
Batch 46: loss = 0.23159191012382507, acc = 0.9228515625
Batch 47: loss = 0.25558793544769287, acc = 0.9130859375
Batch 48: loss = 0.20726366341114044, acc = 0.9296875
Batch 49: loss = 0.2115819901227951, acc = 0.9326171875
Batch 50: loss = 0.21898147463798523, acc = 0.92578125
Batch 51: loss = 0.22633244097232819, acc = 0.9189453125
Batch 52: loss = 0.2279767394065857, acc = 0.91796875
Batch 53: loss = 0.2501834034919739, acc = 0.921875
Batch 54: loss = 0.21128955483436584, acc = 0.9287109375
Batch 55: loss = 0.2377869188785553, acc = 0.9130859375
Batch 56: loss = 0.2585517466068268, acc = 0.8994140625
Batch 57: loss = 0.2626458406448364, acc = 0.91015625
Batch 58: loss = 0.2530931830406189, acc = 0.908203125
Batch 59: loss = 0.20629096031188965, acc = 0.9326171875
Batch 60: loss = 0.21542178094387054, acc = 0.9326171875
Batch 61: loss = 0.24223189055919647, acc = 0.9248046875
Batch 62: loss = 0.22274045646190643, acc = 0.923828125
Batch 63: loss = 0.20623761415481567, acc = 0.9267578125
Batch 64: loss = 0.23004722595214844, acc = 0.921875
Batch 65: loss = 0.27646294236183167, acc = 0.9111328125
Batch 66: loss = 0.2583730220794678, acc = 0.9140625
Batch 67: loss = 0.24908283352851868, acc = 0.9130859375
Batch 68: loss = 0.2542389929294586, acc = 0.9150390625
Batch 69: loss = 0.23768824338912964, acc = 0.9169921875
Batch 70: loss = 0.2406705915927887, acc = 0.9228515625
Batch 71: loss = 0.2471252679824829, acc = 0.912109375
Batch 72: loss = 0.24265170097351074, acc = 0.916015625
Batch 73: loss = 0.2904183864593506, acc = 0.9130859375
Batch 74: loss = 0.27772173285484314, acc = 0.900390625
Batch 75: loss = 0.2776646316051483, acc = 0.91015625
Batch 76: loss = 0.26610448956489563, acc = 0.912109375
Batch 77: loss = 0.22848862409591675, acc = 0.916015625
Batch 78: loss = 0.24865278601646423, acc = 0.91015625
Batch 79: loss = 0.22928349673748016, acc = 0.9228515625
Batch 80: loss = 0.24851679801940918, acc = 0.9140625
Batch 81: loss = 0.23818689584732056, acc = 0.916015625
Batch 82: loss = 0.23478546738624573, acc = 0.921875
Batch 83: loss = 0.23750314116477966, acc = 0.912109375
Batch 84: loss = 0.26276978850364685, acc = 0.9052734375
Batch 85: loss = 0.2872854471206665, acc = 0.904296875
Batch 86: loss = 0.23832951486110687, acc = 0.9228515625
Batch 87: loss = 0.2731502652168274, acc = 0.9013671875
Batch 88: loss = 0.292741984128952, acc = 0.9150390625
Batch 89: loss = 0.24783648550510406, acc = 0.921875
Batch 90: loss = 0.2709265351295471, acc = 0.9072265625
Batch 91: loss = 0.2553807497024536, acc = 0.9150390625
Batch 92: loss = 0.29566457867622375, acc = 0.90234375
Batch 93: loss = 0.24440273642539978, acc = 0.916015625
Batch 94: loss = 0.24827200174331665, acc = 0.9150390625
Batch 95: loss = 0.23194673657417297, acc = 0.9208984375
Batch 96: loss = 0.2736663222312927, acc = 0.896484375
Batch 97: loss = 0.26409852504730225, acc = 0.9091796875
Batch 98: loss = 0.2576245665550232, acc = 0.908203125
Batch 99: loss = 0.24494338035583496, acc = 0.91796875
Batch 100: loss = 0.2562043070793152, acc = 0.9091796875
Batch 101: loss = 0.26003122329711914, acc = 0.9150390625
Batch 102: loss = 0.2789606750011444, acc = 0.90625
Batch 103: loss = 0.26390233635902405, acc = 0.9189453125
Batch 104: loss = 0.2105506807565689, acc = 0.9248046875
Batch 105: loss = 0.1989167332649231, acc = 0.9345703125
Batch 106: loss = 0.22638675570487976, acc = 0.9150390625
Batch 107: loss = 0.24488802254199982, acc = 0.912109375
Batch 108: loss = 0.234212726354599, acc = 0.9130859375
Batch 109: loss = 0.22780317068099976, acc = 0.9169921875
Batch 110: loss = 0.2110360711812973, acc = 0.9296875
Batch 111: loss = 0.26252225041389465, acc = 0.9111328125
Batch 112: loss = 0.24239949882030487, acc = 0.9150390625
Batch 113: loss = 0.2706146836280823, acc = 0.9072265625
Batch 114: loss = 0.24001502990722656, acc = 0.9208984375
Batch 115: loss = 0.2756943702697754, acc = 0.908203125
Batch 116: loss = 0.2890681028366089, acc = 0.8984375
Batch 117: loss = 0.2642645835876465, acc = 0.9140625
Batch 118: loss = 0.2204480618238449, acc = 0.9296875
Batch 119: loss = 0.2376812994480133, acc = 0.9052734375
Batch 120: loss = 0.20016559958457947, acc = 0.9326171875
Batch 121: loss = 0.2628351151943207, acc = 0.912109375
Batch 122: loss = 0.2401713728904724, acc = 0.9248046875
Batch 123: loss = 0.2497144341468811, acc = 0.9140625
Batch 124: loss = 0.2508428990840912, acc = 0.9130859375
Batch 125: loss = 0.2795127034187317, acc = 0.900390625
Batch 126: loss = 0.27624768018722534, acc = 0.91015625

Epoch 95/100
Batch 1: loss = 0.33402687311172485, acc = 0.8916015625
Batch 2: loss = 0.25057855248451233, acc = 0.9130859375
Batch 3: loss = 0.25949281454086304, acc = 0.9130859375
Batch 4: loss = 0.23746925592422485, acc = 0.919921875
Batch 5: loss = 0.2549724876880646, acc = 0.91796875
Batch 6: loss = 0.2761402428150177, acc = 0.9013671875
Batch 7: loss = 0.25893306732177734, acc = 0.9130859375
Batch 8: loss = 0.28195542097091675, acc = 0.8994140625
Batch 9: loss = 0.28383713960647583, acc = 0.9052734375
Batch 10: loss = 0.2532157897949219, acc = 0.9228515625
Batch 11: loss = 0.2468579113483429, acc = 0.916015625
Batch 12: loss = 0.27109742164611816, acc = 0.904296875
Batch 13: loss = 0.25467562675476074, acc = 0.916015625
Batch 14: loss = 0.2444130927324295, acc = 0.9189453125
Batch 15: loss = 0.25320544838905334, acc = 0.9169921875
Batch 16: loss = 0.28693443536758423, acc = 0.9052734375
Batch 17: loss = 0.2493104785680771, acc = 0.919921875
Batch 18: loss = 0.28072649240493774, acc = 0.91796875
Batch 19: loss = 0.23683840036392212, acc = 0.9267578125
Batch 20: loss = 0.2511618137359619, acc = 0.91796875
Batch 21: loss = 0.25269779562950134, acc = 0.9150390625
Batch 22: loss = 0.23002269864082336, acc = 0.919921875
Batch 23: loss = 0.26465073227882385, acc = 0.9091796875
Batch 24: loss = 0.25955724716186523, acc = 0.9033203125
Batch 25: loss = 0.2737332284450531, acc = 0.9111328125
Batch 26: loss = 0.27964767813682556, acc = 0.8984375
Batch 27: loss = 0.25358885526657104, acc = 0.91015625
Batch 28: loss = 0.26179957389831543, acc = 0.9150390625
Batch 29: loss = 0.2515392303466797, acc = 0.9140625
Batch 30: loss = 0.2801015079021454, acc = 0.9033203125
Batch 31: loss = 0.2777281403541565, acc = 0.904296875
Batch 32: loss = 0.2841090261936188, acc = 0.9033203125
Batch 33: loss = 0.23797139525413513, acc = 0.91796875
Batch 34: loss = 0.2572275400161743, acc = 0.9140625
Batch 35: loss = 0.26243019104003906, acc = 0.9130859375
Batch 36: loss = 0.24499022960662842, acc = 0.9140625
Batch 37: loss = 0.21651652455329895, acc = 0.931640625
Batch 38: loss = 0.2363983392715454, acc = 0.9208984375
Batch 39: loss = 0.22045448422431946, acc = 0.9267578125
Batch 40: loss = 0.24025236070156097, acc = 0.923828125
Batch 41: loss = 0.20914775133132935, acc = 0.9248046875
Batch 42: loss = 0.22310282289981842, acc = 0.9296875
Batch 43: loss = 0.2321619987487793, acc = 0.9150390625
Batch 44: loss = 0.26950332522392273, acc = 0.9052734375
Batch 45: loss = 0.21471378207206726, acc = 0.923828125
Batch 46: loss = 0.20590949058532715, acc = 0.931640625
Batch 47: loss = 0.2523494362831116, acc = 0.908203125
Batch 48: loss = 0.212002694606781, acc = 0.923828125
Batch 49: loss = 0.2294422686100006, acc = 0.9287109375
Batch 50: loss = 0.24893437325954437, acc = 0.916015625
Batch 51: loss = 0.2288908213376999, acc = 0.9287109375
Batch 52: loss = 0.24767889082431793, acc = 0.9111328125
Batch 53: loss = 0.26516175270080566, acc = 0.9111328125
Batch 54: loss = 0.21160076558589935, acc = 0.9208984375
Batch 55: loss = 0.2348036915063858, acc = 0.9189453125
Batch 56: loss = 0.27812713384628296, acc = 0.9052734375
Batch 57: loss = 0.26525670289993286, acc = 0.90625
Batch 58: loss = 0.2810894548892975, acc = 0.9052734375
Batch 59: loss = 0.2164103239774704, acc = 0.9306640625
Batch 60: loss = 0.26422345638275146, acc = 0.9091796875
Batch 61: loss = 0.2168464958667755, acc = 0.9267578125
Batch 62: loss = 0.251553475856781, acc = 0.919921875
Batch 63: loss = 0.23198692500591278, acc = 0.92578125
Batch 64: loss = 0.23438408970832825, acc = 0.91796875
Batch 65: loss = 0.23262353241443634, acc = 0.9228515625
Batch 66: loss = 0.25300705432891846, acc = 0.912109375
Batch 67: loss = 0.26788991689682007, acc = 0.912109375
Batch 68: loss = 0.22587792575359344, acc = 0.9248046875
Batch 69: loss = 0.21568898856639862, acc = 0.9287109375
Batch 70: loss = 0.2673019766807556, acc = 0.91796875
Batch 71: loss = 0.24464112520217896, acc = 0.9130859375
Batch 72: loss = 0.23630401492118835, acc = 0.9189453125
Batch 73: loss = 0.26813197135925293, acc = 0.9140625
Batch 74: loss = 0.2607893943786621, acc = 0.90625
Batch 75: loss = 0.2867361903190613, acc = 0.896484375
Batch 76: loss = 0.23654523491859436, acc = 0.912109375
Batch 77: loss = 0.24143855273723602, acc = 0.921875
Batch 78: loss = 0.27680814266204834, acc = 0.8994140625
Batch 79: loss = 0.2383268177509308, acc = 0.9072265625
Batch 80: loss = 0.21333588659763336, acc = 0.9326171875
Batch 81: loss = 0.2235814481973648, acc = 0.93359375
Batch 82: loss = 0.278573215007782, acc = 0.904296875
Batch 83: loss = 0.25946906208992004, acc = 0.916015625
Batch 84: loss = 0.25535309314727783, acc = 0.919921875
Batch 85: loss = 0.2594745457172394, acc = 0.9150390625
Batch 86: loss = 0.2636505365371704, acc = 0.91796875
Batch 87: loss = 0.2683383822441101, acc = 0.9150390625
Batch 88: loss = 0.265275776386261, acc = 0.9091796875
Batch 89: loss = 0.2461051642894745, acc = 0.9287109375
Batch 90: loss = 0.26078861951828003, acc = 0.9033203125
Batch 91: loss = 0.2508285641670227, acc = 0.91796875
Batch 92: loss = 0.31035274267196655, acc = 0.8837890625
Batch 93: loss = 0.24504823982715607, acc = 0.923828125
Batch 94: loss = 0.20266517996788025, acc = 0.927734375
Batch 95: loss = 0.23770631849765778, acc = 0.9169921875
Batch 96: loss = 0.2600497007369995, acc = 0.9130859375
Batch 97: loss = 0.248574897646904, acc = 0.921875
Batch 98: loss = 0.2706851661205292, acc = 0.9052734375
Batch 99: loss = 0.25989964604377747, acc = 0.91796875
Batch 100: loss = 0.2671343684196472, acc = 0.8974609375
Batch 101: loss = 0.2688022255897522, acc = 0.9111328125
Batch 102: loss = 0.2798900008201599, acc = 0.9052734375
Batch 103: loss = 0.27396804094314575, acc = 0.912109375
Batch 104: loss = 0.21626301109790802, acc = 0.93359375
Batch 105: loss = 0.2376302182674408, acc = 0.9208984375
Batch 106: loss = 0.22234806418418884, acc = 0.9140625
Batch 107: loss = 0.2220071405172348, acc = 0.91796875
Batch 108: loss = 0.2563073933124542, acc = 0.9072265625
Batch 109: loss = 0.2387741208076477, acc = 0.916015625
Batch 110: loss = 0.23562875390052795, acc = 0.9267578125
Batch 111: loss = 0.2412746548652649, acc = 0.9150390625
Batch 112: loss = 0.24778035283088684, acc = 0.9189453125
Batch 113: loss = 0.2986210584640503, acc = 0.896484375
Batch 114: loss = 0.271077036857605, acc = 0.916015625
Batch 115: loss = 0.27201592922210693, acc = 0.916015625
Batch 116: loss = 0.25547486543655396, acc = 0.9091796875
Batch 117: loss = 0.2544134855270386, acc = 0.91796875
Batch 118: loss = 0.2810623049736023, acc = 0.9033203125
Batch 119: loss = 0.2424442619085312, acc = 0.927734375
Batch 120: loss = 0.18617933988571167, acc = 0.9345703125
Batch 121: loss = 0.21372804045677185, acc = 0.9287109375
Batch 122: loss = 0.22386083006858826, acc = 0.9169921875
Batch 123: loss = 0.23845402896404266, acc = 0.9169921875
Batch 124: loss = 0.2704220116138458, acc = 0.904296875
Batch 125: loss = 0.2889711260795593, acc = 0.900390625
Batch 126: loss = 0.2452930063009262, acc = 0.923828125

Epoch 96/100
Batch 1: loss = 0.3267855942249298, acc = 0.8994140625
Batch 2: loss = 0.25844860076904297, acc = 0.916015625
Batch 3: loss = 0.2709411084651947, acc = 0.90234375
Batch 4: loss = 0.2423093020915985, acc = 0.9169921875
Batch 5: loss = 0.2582382559776306, acc = 0.908203125
Batch 6: loss = 0.2758445143699646, acc = 0.908203125
Batch 7: loss = 0.2690528929233551, acc = 0.908203125
Batch 8: loss = 0.2754909098148346, acc = 0.9189453125
Batch 9: loss = 0.27868950366973877, acc = 0.90625
Batch 10: loss = 0.212030291557312, acc = 0.921875
Batch 11: loss = 0.23646919429302216, acc = 0.919921875
Batch 12: loss = 0.2718266248703003, acc = 0.908203125
Batch 13: loss = 0.24004721641540527, acc = 0.9228515625
Batch 14: loss = 0.25042033195495605, acc = 0.9150390625
Batch 15: loss = 0.22928377985954285, acc = 0.9189453125
Batch 16: loss = 0.26277387142181396, acc = 0.9072265625
Batch 17: loss = 0.24968653917312622, acc = 0.9189453125
Batch 18: loss = 0.2606319189071655, acc = 0.912109375
Batch 19: loss = 0.2550564706325531, acc = 0.916015625
Batch 20: loss = 0.25780701637268066, acc = 0.908203125
Batch 21: loss = 0.2692417502403259, acc = 0.9111328125
Batch 22: loss = 0.2583733797073364, acc = 0.91796875
Batch 23: loss = 0.23086202144622803, acc = 0.9228515625
Batch 24: loss = 0.25109416246414185, acc = 0.921875
Batch 25: loss = 0.25953209400177, acc = 0.9052734375
Batch 26: loss = 0.2654043436050415, acc = 0.9072265625
Batch 27: loss = 0.2676814794540405, acc = 0.9052734375
Batch 28: loss = 0.2612488865852356, acc = 0.912109375
Batch 29: loss = 0.28707456588745117, acc = 0.8984375
Batch 30: loss = 0.2666036784648895, acc = 0.9130859375
Batch 31: loss = 0.2269153892993927, acc = 0.921875
Batch 32: loss = 0.2701515555381775, acc = 0.9072265625
Batch 33: loss = 0.24455024302005768, acc = 0.9208984375
Batch 34: loss = 0.22731497883796692, acc = 0.9248046875
Batch 35: loss = 0.23104742169380188, acc = 0.9169921875
Batch 36: loss = 0.22234439849853516, acc = 0.9208984375
Batch 37: loss = 0.19702644646167755, acc = 0.9296875
Batch 38: loss = 0.22751352190971375, acc = 0.9267578125
Batch 39: loss = 0.20767992734909058, acc = 0.9306640625
Batch 40: loss = 0.23184378445148468, acc = 0.9287109375
Batch 41: loss = 0.21243226528167725, acc = 0.93359375
Batch 42: loss = 0.21116790175437927, acc = 0.9296875
Batch 43: loss = 0.2460925132036209, acc = 0.9130859375
Batch 44: loss = 0.24542000889778137, acc = 0.912109375
Batch 45: loss = 0.2487422078847885, acc = 0.9150390625
Batch 46: loss = 0.19972582161426544, acc = 0.9345703125
Batch 47: loss = 0.23101706802845, acc = 0.921875
Batch 48: loss = 0.2124580293893814, acc = 0.9228515625
Batch 49: loss = 0.23653149604797363, acc = 0.9130859375
Batch 50: loss = 0.2404915690422058, acc = 0.9189453125
Batch 51: loss = 0.272641658782959, acc = 0.9140625
Batch 52: loss = 0.25073879957199097, acc = 0.919921875
Batch 53: loss = 0.25446632504463196, acc = 0.9111328125
Batch 54: loss = 0.1878240704536438, acc = 0.9375
Batch 55: loss = 0.2214900553226471, acc = 0.921875
Batch 56: loss = 0.23699061572551727, acc = 0.9208984375
Batch 57: loss = 0.2607969641685486, acc = 0.9111328125
Batch 58: loss = 0.23872263729572296, acc = 0.9140625
Batch 59: loss = 0.20447877049446106, acc = 0.9287109375
Batch 60: loss = 0.23361897468566895, acc = 0.9228515625
Batch 61: loss = 0.2545556426048279, acc = 0.92578125
Batch 62: loss = 0.24867205321788788, acc = 0.9130859375
Batch 63: loss = 0.20759297907352448, acc = 0.9365234375
Batch 64: loss = 0.20898589491844177, acc = 0.9306640625
Batch 65: loss = 0.25814229249954224, acc = 0.912109375
Batch 66: loss = 0.22155559062957764, acc = 0.923828125
Batch 67: loss = 0.24600344896316528, acc = 0.9208984375
Batch 68: loss = 0.2614192068576813, acc = 0.91015625
Batch 69: loss = 0.1895202249288559, acc = 0.93359375
Batch 70: loss = 0.26825565099716187, acc = 0.908203125
Batch 71: loss = 0.2502779960632324, acc = 0.9189453125
Batch 72: loss = 0.24939706921577454, acc = 0.931640625
Batch 73: loss = 0.2743947505950928, acc = 0.9052734375
Batch 74: loss = 0.27494603395462036, acc = 0.90625
Batch 75: loss = 0.2612876296043396, acc = 0.9130859375
Batch 76: loss = 0.29846757650375366, acc = 0.900390625
Batch 77: loss = 0.24127638339996338, acc = 0.91015625
Batch 78: loss = 0.2616201341152191, acc = 0.9052734375
Batch 79: loss = 0.25419265031814575, acc = 0.9169921875
Batch 80: loss = 0.2540236711502075, acc = 0.9091796875
Batch 81: loss = 0.23896664381027222, acc = 0.9228515625
Batch 82: loss = 0.26222968101501465, acc = 0.8994140625
Batch 83: loss = 0.25545424222946167, acc = 0.919921875
Batch 84: loss = 0.2475469410419464, acc = 0.9130859375
Batch 85: loss = 0.27983349561691284, acc = 0.8935546875
Batch 86: loss = 0.2670537829399109, acc = 0.9169921875
Batch 87: loss = 0.2316162884235382, acc = 0.927734375
Batch 88: loss = 0.27504777908325195, acc = 0.9072265625
Batch 89: loss = 0.2662532329559326, acc = 0.9169921875
Batch 90: loss = 0.25030338764190674, acc = 0.908203125
Batch 91: loss = 0.234073668718338, acc = 0.919921875
Batch 92: loss = 0.2841704487800598, acc = 0.9140625
Batch 93: loss = 0.24605679512023926, acc = 0.921875
Batch 94: loss = 0.22015853226184845, acc = 0.9169921875
Batch 95: loss = 0.21933196485042572, acc = 0.9296875
Batch 96: loss = 0.29191240668296814, acc = 0.9052734375
Batch 97: loss = 0.2728434205055237, acc = 0.90234375
Batch 98: loss = 0.2504093050956726, acc = 0.919921875
Batch 99: loss = 0.2403469979763031, acc = 0.9111328125
Batch 100: loss = 0.26820963621139526, acc = 0.9111328125
Batch 101: loss = 0.24144954979419708, acc = 0.9189453125
Batch 102: loss = 0.2581425607204437, acc = 0.9111328125
Batch 103: loss = 0.26251649856567383, acc = 0.904296875
Batch 104: loss = 0.22836031019687653, acc = 0.9208984375
Batch 105: loss = 0.20568588376045227, acc = 0.927734375
Batch 106: loss = 0.23841527104377747, acc = 0.912109375
Batch 107: loss = 0.2467670738697052, acc = 0.9150390625
Batch 108: loss = 0.2596568763256073, acc = 0.90234375
Batch 109: loss = 0.23512622714042664, acc = 0.9150390625
Batch 110: loss = 0.25243058800697327, acc = 0.912109375
Batch 111: loss = 0.25692975521087646, acc = 0.9130859375
Batch 112: loss = 0.2794754207134247, acc = 0.9091796875
Batch 113: loss = 0.2650950253009796, acc = 0.9150390625
Batch 114: loss = 0.2987479567527771, acc = 0.90234375
Batch 115: loss = 0.2658548653125763, acc = 0.9072265625
Batch 116: loss = 0.3118833899497986, acc = 0.88671875
Batch 117: loss = 0.2513893246650696, acc = 0.9140625
Batch 118: loss = 0.24806460738182068, acc = 0.916015625
Batch 119: loss = 0.23073649406433105, acc = 0.9228515625
Batch 120: loss = 0.2300254851579666, acc = 0.91796875
Batch 121: loss = 0.25951090455055237, acc = 0.9091796875
Batch 122: loss = 0.2294105887413025, acc = 0.91796875
Batch 123: loss = 0.24157986044883728, acc = 0.919921875
Batch 124: loss = 0.2786591649055481, acc = 0.8955078125
Batch 125: loss = 0.2610013484954834, acc = 0.904296875
Batch 126: loss = 0.2584071159362793, acc = 0.91796875

Epoch 97/100
Batch 1: loss = 0.32939720153808594, acc = 0.8876953125
Batch 2: loss = 0.22887539863586426, acc = 0.916015625
Batch 3: loss = 0.2839949429035187, acc = 0.904296875
Batch 4: loss = 0.2469627410173416, acc = 0.919921875
Batch 5: loss = 0.236093670129776, acc = 0.91796875
Batch 6: loss = 0.24796871840953827, acc = 0.9130859375
Batch 7: loss = 0.25271373987197876, acc = 0.91015625
Batch 8: loss = 0.25302207469940186, acc = 0.916015625
Batch 9: loss = 0.24423228204250336, acc = 0.921875
Batch 10: loss = 0.21561986207962036, acc = 0.9296875
Batch 11: loss = 0.25727856159210205, acc = 0.908203125
Batch 12: loss = 0.24898304045200348, acc = 0.9033203125
Batch 13: loss = 0.24529382586479187, acc = 0.919921875
Batch 14: loss = 0.2216741442680359, acc = 0.9296875
Batch 15: loss = 0.19771462678909302, acc = 0.9306640625
Batch 16: loss = 0.244884192943573, acc = 0.919921875
Batch 17: loss = 0.22046443819999695, acc = 0.9287109375
Batch 18: loss = 0.26990318298339844, acc = 0.91015625
Batch 19: loss = 0.2383650541305542, acc = 0.923828125
Batch 20: loss = 0.23011387884616852, acc = 0.9208984375
Batch 21: loss = 0.2735944986343384, acc = 0.9013671875
Batch 22: loss = 0.23983466625213623, acc = 0.921875
Batch 23: loss = 0.24747881293296814, acc = 0.9140625
Batch 24: loss = 0.2074456512928009, acc = 0.927734375
Batch 25: loss = 0.23667895793914795, acc = 0.9189453125
Batch 26: loss = 0.22376924753189087, acc = 0.9287109375
Batch 27: loss = 0.24677813053131104, acc = 0.912109375
Batch 28: loss = 0.25693461298942566, acc = 0.912109375
Batch 29: loss = 0.2657022476196289, acc = 0.9130859375
Batch 30: loss = 0.2614755928516388, acc = 0.908203125
Batch 31: loss = 0.2562028169631958, acc = 0.9072265625
Batch 32: loss = 0.298442542552948, acc = 0.8974609375
Batch 33: loss = 0.22169265151023865, acc = 0.931640625
Batch 34: loss = 0.2545154094696045, acc = 0.9091796875
Batch 35: loss = 0.232456773519516, acc = 0.923828125
Batch 36: loss = 0.20277059078216553, acc = 0.9267578125
Batch 37: loss = 0.2296389639377594, acc = 0.919921875
Batch 38: loss = 0.23847517371177673, acc = 0.9150390625
Batch 39: loss = 0.2038833200931549, acc = 0.9326171875
Batch 40: loss = 0.24992635846138, acc = 0.91796875
Batch 41: loss = 0.2560253441333771, acc = 0.9072265625
Batch 42: loss = 0.25447162985801697, acc = 0.908203125
Batch 43: loss = 0.26440590620040894, acc = 0.912109375
Batch 44: loss = 0.2467370629310608, acc = 0.9228515625
Batch 45: loss = 0.21451044082641602, acc = 0.9287109375
Batch 46: loss = 0.21647971868515015, acc = 0.92578125
Batch 47: loss = 0.2293812334537506, acc = 0.9248046875
Batch 48: loss = 0.2086884081363678, acc = 0.9208984375
Batch 49: loss = 0.2154352068901062, acc = 0.9228515625
Batch 50: loss = 0.2263891100883484, acc = 0.9228515625
Batch 51: loss = 0.25020885467529297, acc = 0.9091796875
Batch 52: loss = 0.21671609580516815, acc = 0.923828125
Batch 53: loss = 0.23592376708984375, acc = 0.91796875
Batch 54: loss = 0.18723398447036743, acc = 0.9345703125
Batch 55: loss = 0.18451771140098572, acc = 0.9404296875
Batch 56: loss = 0.2476186752319336, acc = 0.908203125
Batch 57: loss = 0.2694057524204254, acc = 0.9130859375
Batch 58: loss = 0.26514923572540283, acc = 0.9111328125
Batch 59: loss = 0.2120460569858551, acc = 0.9248046875
Batch 60: loss = 0.26882272958755493, acc = 0.9091796875
Batch 61: loss = 0.24437901377677917, acc = 0.9287109375
Batch 62: loss = 0.27173906564712524, acc = 0.9091796875
Batch 63: loss = 0.21467973291873932, acc = 0.927734375
Batch 64: loss = 0.21238547563552856, acc = 0.9189453125
Batch 65: loss = 0.23730114102363586, acc = 0.927734375
Batch 66: loss = 0.27539217472076416, acc = 0.9091796875
Batch 67: loss = 0.18387097120285034, acc = 0.9453125
Batch 68: loss = 0.2395641952753067, acc = 0.916015625
Batch 69: loss = 0.21828162670135498, acc = 0.92578125
Batch 70: loss = 0.2950834631919861, acc = 0.8974609375
Batch 71: loss = 0.25496014952659607, acc = 0.916015625
Batch 72: loss = 0.22344999015331268, acc = 0.93359375
Batch 73: loss = 0.2566162943840027, acc = 0.921875
Batch 74: loss = 0.2525421380996704, acc = 0.9130859375
Batch 75: loss = 0.2683929204940796, acc = 0.9169921875
Batch 76: loss = 0.2549562454223633, acc = 0.91015625
Batch 77: loss = 0.23418836295604706, acc = 0.91796875
Batch 78: loss = 0.22027195990085602, acc = 0.923828125
Batch 79: loss = 0.24990685284137726, acc = 0.919921875
Batch 80: loss = 0.2247745394706726, acc = 0.916015625
Batch 81: loss = 0.27329811453819275, acc = 0.9052734375
Batch 82: loss = 0.25707969069480896, acc = 0.9208984375
Batch 83: loss = 0.2260197401046753, acc = 0.923828125
Batch 84: loss = 0.2673332989215851, acc = 0.91015625
Batch 85: loss = 0.2429577261209488, acc = 0.9169921875
Batch 86: loss = 0.2500433027744293, acc = 0.9208984375
Batch 87: loss = 0.2759009301662445, acc = 0.9052734375
Batch 88: loss = 0.2563783526420593, acc = 0.9150390625
Batch 89: loss = 0.2293166220188141, acc = 0.9228515625
Batch 90: loss = 0.25172311067581177, acc = 0.9072265625
Batch 91: loss = 0.25889280438423157, acc = 0.9130859375
Batch 92: loss = 0.24881401658058167, acc = 0.9189453125
Batch 93: loss = 0.23936249315738678, acc = 0.921875
Batch 94: loss = 0.2361283302307129, acc = 0.91796875
Batch 95: loss = 0.22481979429721832, acc = 0.92578125
Batch 96: loss = 0.23540452122688293, acc = 0.921875
Batch 97: loss = 0.2487940639257431, acc = 0.912109375
Batch 98: loss = 0.2254314422607422, acc = 0.9208984375
Batch 99: loss = 0.26942694187164307, acc = 0.9072265625
Batch 100: loss = 0.27256521582603455, acc = 0.912109375
Batch 101: loss = 0.22449541091918945, acc = 0.91796875
Batch 102: loss = 0.24414744973182678, acc = 0.91015625
Batch 103: loss = 0.25126034021377563, acc = 0.9189453125
Batch 104: loss = 0.1950327306985855, acc = 0.9365234375
Batch 105: loss = 0.21999570727348328, acc = 0.9228515625
Batch 106: loss = 0.21063479781150818, acc = 0.931640625
Batch 107: loss = 0.23705269396305084, acc = 0.9189453125
Batch 108: loss = 0.219762921333313, acc = 0.9150390625
Batch 109: loss = 0.22268933057785034, acc = 0.9208984375
Batch 110: loss = 0.23336008191108704, acc = 0.921875
Batch 111: loss = 0.23368951678276062, acc = 0.9208984375
Batch 112: loss = 0.2731917202472687, acc = 0.9091796875
Batch 113: loss = 0.24703064560890198, acc = 0.9169921875
Batch 114: loss = 0.2536018490791321, acc = 0.9169921875
Batch 115: loss = 0.2388802468776703, acc = 0.9111328125
Batch 116: loss = 0.26067793369293213, acc = 0.9140625
Batch 117: loss = 0.23376157879829407, acc = 0.92578125
Batch 118: loss = 0.2633122503757477, acc = 0.9150390625
Batch 119: loss = 0.22864896059036255, acc = 0.919921875
Batch 120: loss = 0.20729102194309235, acc = 0.9267578125
Batch 121: loss = 0.2455635964870453, acc = 0.91015625
Batch 122: loss = 0.23276834189891815, acc = 0.921875
Batch 123: loss = 0.23510032892227173, acc = 0.9111328125
Batch 124: loss = 0.2547938823699951, acc = 0.9111328125
Batch 125: loss = 0.2588629126548767, acc = 0.91015625
Batch 126: loss = 0.23124025762081146, acc = 0.9287109375

Epoch 98/100
Batch 1: loss = 0.29728078842163086, acc = 0.904296875
Batch 2: loss = 0.25088557600975037, acc = 0.908203125
Batch 3: loss = 0.2548467814922333, acc = 0.921875
Batch 4: loss = 0.23290236294269562, acc = 0.919921875
Batch 5: loss = 0.28500524163246155, acc = 0.900390625
Batch 6: loss = 0.2176259160041809, acc = 0.9208984375
Batch 7: loss = 0.23935523629188538, acc = 0.9189453125
Batch 8: loss = 0.2427806258201599, acc = 0.9189453125
Batch 9: loss = 0.25178271532058716, acc = 0.9267578125
Batch 10: loss = 0.23522263765335083, acc = 0.9208984375
Batch 11: loss = 0.23274515569210052, acc = 0.9189453125
Batch 12: loss = 0.21338233351707458, acc = 0.9375
Batch 13: loss = 0.20981040596961975, acc = 0.9248046875
Batch 14: loss = 0.24294251203536987, acc = 0.927734375
Batch 15: loss = 0.22171083092689514, acc = 0.9248046875
Batch 16: loss = 0.2181357592344284, acc = 0.9248046875
Batch 17: loss = 0.2364947348833084, acc = 0.9140625
Batch 18: loss = 0.24268704652786255, acc = 0.9150390625
Batch 19: loss = 0.26203131675720215, acc = 0.91796875
Batch 20: loss = 0.2657700777053833, acc = 0.91015625
Batch 21: loss = 0.26366353034973145, acc = 0.91796875
Batch 22: loss = 0.25061580538749695, acc = 0.9130859375
Batch 23: loss = 0.24952661991119385, acc = 0.9140625
Batch 24: loss = 0.22871626913547516, acc = 0.931640625
Batch 25: loss = 0.24216671288013458, acc = 0.921875
Batch 26: loss = 0.25748133659362793, acc = 0.9169921875
Batch 27: loss = 0.2758610248565674, acc = 0.908203125
Batch 28: loss = 0.25835490226745605, acc = 0.919921875
Batch 29: loss = 0.2671215236186981, acc = 0.896484375
Batch 30: loss = 0.24869096279144287, acc = 0.9169921875
Batch 31: loss = 0.29204675555229187, acc = 0.90234375
Batch 32: loss = 0.3097262382507324, acc = 0.8994140625
Batch 33: loss = 0.25145721435546875, acc = 0.908203125
Batch 34: loss = 0.23915943503379822, acc = 0.9130859375
Batch 35: loss = 0.27271610498428345, acc = 0.9130859375
Batch 36: loss = 0.18470324575901031, acc = 0.935546875
Batch 37: loss = 0.21125799417495728, acc = 0.9296875
Batch 38: loss = 0.2541603744029999, acc = 0.919921875
Batch 39: loss = 0.26900720596313477, acc = 0.9111328125
Batch 40: loss = 0.24460065364837646, acc = 0.919921875
Batch 41: loss = 0.24378427863121033, acc = 0.9111328125
Batch 42: loss = 0.23726487159729004, acc = 0.912109375
Batch 43: loss = 0.26092469692230225, acc = 0.9072265625
Batch 44: loss = 0.2256903350353241, acc = 0.9345703125
Batch 45: loss = 0.20948709547519684, acc = 0.9345703125
Batch 46: loss = 0.22299158573150635, acc = 0.92578125
Batch 47: loss = 0.24532362818717957, acc = 0.923828125
Batch 48: loss = 0.22094835340976715, acc = 0.9287109375
Batch 49: loss = 0.22427242994308472, acc = 0.9248046875
Batch 50: loss = 0.24722114205360413, acc = 0.9248046875
Batch 51: loss = 0.2563418745994568, acc = 0.9111328125
Batch 52: loss = 0.22789178788661957, acc = 0.921875
Batch 53: loss = 0.22848407924175262, acc = 0.923828125
Batch 54: loss = 0.21056711673736572, acc = 0.92578125
Batch 55: loss = 0.22718121111392975, acc = 0.9267578125
Batch 56: loss = 0.1975294053554535, acc = 0.9306640625
Batch 57: loss = 0.2882886230945587, acc = 0.904296875
Batch 58: loss = 0.2493066042661667, acc = 0.908203125
Batch 59: loss = 0.20906409621238708, acc = 0.9365234375
Batch 60: loss = 0.26227450370788574, acc = 0.916015625
Batch 61: loss = 0.2188134342432022, acc = 0.9248046875
Batch 62: loss = 0.2733815908432007, acc = 0.8994140625
Batch 63: loss = 0.23964504897594452, acc = 0.9208984375
Batch 64: loss = 0.2044423520565033, acc = 0.92578125
Batch 65: loss = 0.24178442358970642, acc = 0.923828125
Batch 66: loss = 0.24933019280433655, acc = 0.923828125
Batch 67: loss = 0.24113626778125763, acc = 0.91796875
Batch 68: loss = 0.22921568155288696, acc = 0.916015625
Batch 69: loss = 0.22592632472515106, acc = 0.9248046875
Batch 70: loss = 0.3055134117603302, acc = 0.8994140625
Batch 71: loss = 0.24612340331077576, acc = 0.919921875
Batch 72: loss = 0.253240704536438, acc = 0.919921875
Batch 73: loss = 0.2788460850715637, acc = 0.91015625
Batch 74: loss = 0.24312958121299744, acc = 0.9140625
Batch 75: loss = 0.2326505482196808, acc = 0.9130859375
Batch 76: loss = 0.2564314901828766, acc = 0.916015625
Batch 77: loss = 0.21711814403533936, acc = 0.9267578125
Batch 78: loss = 0.2570818364620209, acc = 0.908203125
Batch 79: loss = 0.23123416304588318, acc = 0.9189453125
Batch 80: loss = 0.22063584625720978, acc = 0.9169921875
Batch 81: loss = 0.24908237159252167, acc = 0.9150390625
Batch 82: loss = 0.23809081315994263, acc = 0.921875
Batch 83: loss = 0.23553434014320374, acc = 0.9169921875
Batch 84: loss = 0.22605489194393158, acc = 0.9267578125
Batch 85: loss = 0.23553434014320374, acc = 0.9228515625
Batch 86: loss = 0.2446276843547821, acc = 0.912109375
Batch 87: loss = 0.28863075375556946, acc = 0.9033203125
Batch 88: loss = 0.2803215980529785, acc = 0.900390625
Batch 89: loss = 0.24654808640480042, acc = 0.9150390625
Batch 90: loss = 0.24608194828033447, acc = 0.923828125
Batch 91: loss = 0.28364986181259155, acc = 0.9033203125
Batch 92: loss = 0.2744050621986389, acc = 0.908203125
Batch 93: loss = 0.2542828321456909, acc = 0.9189453125
Batch 94: loss = 0.21788892149925232, acc = 0.9228515625
Batch 95: loss = 0.20027685165405273, acc = 0.9345703125
Batch 96: loss = 0.2647854685783386, acc = 0.916015625
Batch 97: loss = 0.2651059031486511, acc = 0.9169921875
Batch 98: loss = 0.2454191893339157, acc = 0.912109375
Batch 99: loss = 0.2534579634666443, acc = 0.923828125
Batch 100: loss = 0.27549299597740173, acc = 0.9111328125
Batch 101: loss = 0.22684520483016968, acc = 0.9248046875
Batch 102: loss = 0.23749059438705444, acc = 0.9091796875
Batch 103: loss = 0.22477801144123077, acc = 0.9169921875
Batch 104: loss = 0.2288549840450287, acc = 0.92578125
Batch 105: loss = 0.20592832565307617, acc = 0.9267578125
Batch 106: loss = 0.2507246136665344, acc = 0.9091796875
Batch 107: loss = 0.22893311083316803, acc = 0.9150390625
Batch 108: loss = 0.2432270348072052, acc = 0.9208984375
Batch 109: loss = 0.2499379813671112, acc = 0.9111328125
Batch 110: loss = 0.2032153308391571, acc = 0.935546875
Batch 111: loss = 0.24700824916362762, acc = 0.908203125
Batch 112: loss = 0.24243442714214325, acc = 0.919921875
Batch 113: loss = 0.24143895506858826, acc = 0.9150390625
Batch 114: loss = 0.2430696338415146, acc = 0.9248046875
Batch 115: loss = 0.22904150187969208, acc = 0.923828125
Batch 116: loss = 0.2949831485748291, acc = 0.9072265625
Batch 117: loss = 0.2559998631477356, acc = 0.904296875
Batch 118: loss = 0.2263287901878357, acc = 0.9267578125
Batch 119: loss = 0.21329635381698608, acc = 0.927734375
Batch 120: loss = 0.20518484711647034, acc = 0.9375
Batch 121: loss = 0.21243447065353394, acc = 0.92578125
Batch 122: loss = 0.23093558847904205, acc = 0.9189453125
Batch 123: loss = 0.2241937220096588, acc = 0.921875
Batch 124: loss = 0.29205024242401123, acc = 0.892578125
Batch 125: loss = 0.26115715503692627, acc = 0.9169921875
Batch 126: loss = 0.24549826979637146, acc = 0.9111328125

Epoch 99/100
Batch 1: loss = 0.2937973141670227, acc = 0.9130859375
Batch 2: loss = 0.25177615880966187, acc = 0.9189453125
Batch 3: loss = 0.2134367823600769, acc = 0.923828125
Batch 4: loss = 0.22682777047157288, acc = 0.9296875
Batch 5: loss = 0.22899839282035828, acc = 0.9228515625
Batch 6: loss = 0.23113614320755005, acc = 0.916015625
Batch 7: loss = 0.22250378131866455, acc = 0.92578125
Batch 8: loss = 0.2407532036304474, acc = 0.9169921875
Batch 9: loss = 0.251066118478775, acc = 0.9130859375
Batch 10: loss = 0.1870894581079483, acc = 0.943359375
Batch 11: loss = 0.2438051700592041, acc = 0.9111328125
Batch 12: loss = 0.22889819741249084, acc = 0.9248046875
Batch 13: loss = 0.23726974427700043, acc = 0.9150390625
Batch 14: loss = 0.26912736892700195, acc = 0.9150390625
Batch 15: loss = 0.23953205347061157, acc = 0.9208984375
Batch 16: loss = 0.2631542682647705, acc = 0.9150390625
Batch 17: loss = 0.24859404563903809, acc = 0.91796875
Batch 18: loss = 0.250953733921051, acc = 0.923828125
Batch 19: loss = 0.23805344104766846, acc = 0.9208984375
Batch 20: loss = 0.2267950177192688, acc = 0.9208984375
Batch 21: loss = 0.2599574327468872, acc = 0.8994140625
Batch 22: loss = 0.24740317463874817, acc = 0.9189453125
Batch 23: loss = 0.2350388616323471, acc = 0.91796875
Batch 24: loss = 0.2171153724193573, acc = 0.9189453125
Batch 25: loss = 0.24015836417675018, acc = 0.9267578125
Batch 26: loss = 0.24496421217918396, acc = 0.9267578125
Batch 27: loss = 0.271905779838562, acc = 0.9140625
Batch 28: loss = 0.2503238320350647, acc = 0.9130859375
Batch 29: loss = 0.26306378841400146, acc = 0.9169921875
Batch 30: loss = 0.25115832686424255, acc = 0.9208984375
Batch 31: loss = 0.22434568405151367, acc = 0.912109375
Batch 32: loss = 0.29098814725875854, acc = 0.9033203125
Batch 33: loss = 0.24105896055698395, acc = 0.91796875
Batch 34: loss = 0.2725425362586975, acc = 0.9033203125
Batch 35: loss = 0.23933568596839905, acc = 0.91796875
Batch 36: loss = 0.194052055478096, acc = 0.94140625
Batch 37: loss = 0.21274739503860474, acc = 0.921875
Batch 38: loss = 0.26129212975502014, acc = 0.9111328125
Batch 39: loss = 0.21959397196769714, acc = 0.9150390625
Batch 40: loss = 0.25940823554992676, acc = 0.91796875
Batch 41: loss = 0.22506378591060638, acc = 0.9169921875
Batch 42: loss = 0.23315182328224182, acc = 0.921875
Batch 43: loss = 0.2190392017364502, acc = 0.923828125
Batch 44: loss = 0.19872480630874634, acc = 0.935546875
Batch 45: loss = 0.21545255184173584, acc = 0.91796875
Batch 46: loss = 0.20041275024414062, acc = 0.927734375
Batch 47: loss = 0.2076505422592163, acc = 0.9306640625
Batch 48: loss = 0.19999763369560242, acc = 0.939453125
Batch 49: loss = 0.20740392804145813, acc = 0.93359375
Batch 50: loss = 0.2631695568561554, acc = 0.9111328125
Batch 51: loss = 0.23339274525642395, acc = 0.9169921875
Batch 52: loss = 0.23125401139259338, acc = 0.9208984375
Batch 53: loss = 0.22812247276306152, acc = 0.9091796875
Batch 54: loss = 0.19401206076145172, acc = 0.9423828125
Batch 55: loss = 0.20987991988658905, acc = 0.935546875
Batch 56: loss = 0.24962814152240753, acc = 0.9052734375
Batch 57: loss = 0.2703527510166168, acc = 0.8984375
Batch 58: loss = 0.25001710653305054, acc = 0.908203125
Batch 59: loss = 0.1928999423980713, acc = 0.9375
Batch 60: loss = 0.23916783928871155, acc = 0.9208984375
Batch 61: loss = 0.21083766222000122, acc = 0.9296875
Batch 62: loss = 0.2917410731315613, acc = 0.9013671875
Batch 63: loss = 0.20538975298404694, acc = 0.931640625
Batch 64: loss = 0.21975478529930115, acc = 0.927734375
Batch 65: loss = 0.24455836415290833, acc = 0.92578125
Batch 66: loss = 0.2369709312915802, acc = 0.9189453125
Batch 67: loss = 0.2151474952697754, acc = 0.9169921875
Batch 68: loss = 0.23422661423683167, acc = 0.923828125
Batch 69: loss = 0.20337626338005066, acc = 0.9296875
Batch 70: loss = 0.26458027958869934, acc = 0.9091796875
Batch 71: loss = 0.2424558699131012, acc = 0.919921875
Batch 72: loss = 0.22808124125003815, acc = 0.9306640625
Batch 73: loss = 0.2778770625591278, acc = 0.9111328125
Batch 74: loss = 0.27376991510391235, acc = 0.9169921875
Batch 75: loss = 0.27699941396713257, acc = 0.9033203125
Batch 76: loss = 0.25263744592666626, acc = 0.916015625
Batch 77: loss = 0.21993456780910492, acc = 0.9287109375
Batch 78: loss = 0.21023136377334595, acc = 0.921875
Batch 79: loss = 0.2326202541589737, acc = 0.92578125
Batch 80: loss = 0.2449457347393036, acc = 0.9140625
Batch 81: loss = 0.25481337308883667, acc = 0.912109375
Batch 82: loss = 0.24810846149921417, acc = 0.921875
Batch 83: loss = 0.22371609508991241, acc = 0.9150390625
Batch 84: loss = 0.202561616897583, acc = 0.9287109375
Batch 85: loss = 0.24246765673160553, acc = 0.916015625
Batch 86: loss = 0.2607088088989258, acc = 0.9150390625
Batch 87: loss = 0.2507554292678833, acc = 0.921875
Batch 88: loss = 0.2799910008907318, acc = 0.896484375
Batch 89: loss = 0.2388714849948883, acc = 0.9248046875
Batch 90: loss = 0.2316012680530548, acc = 0.9208984375
Batch 91: loss = 0.2644776701927185, acc = 0.9013671875
Batch 92: loss = 0.2853385806083679, acc = 0.908203125
Batch 93: loss = 0.2331697791814804, acc = 0.92578125
Batch 94: loss = 0.2207246720790863, acc = 0.931640625
Batch 95: loss = 0.23072461783885956, acc = 0.9208984375
Batch 96: loss = 0.25391069054603577, acc = 0.9189453125
Batch 97: loss = 0.2804313600063324, acc = 0.9111328125
Batch 98: loss = 0.2516549527645111, acc = 0.91796875
Batch 99: loss = 0.2576429545879364, acc = 0.908203125
Batch 100: loss = 0.2574787735939026, acc = 0.9072265625
Batch 101: loss = 0.24332964420318604, acc = 0.931640625
Batch 102: loss = 0.24216100573539734, acc = 0.916015625
Batch 103: loss = 0.24464155733585358, acc = 0.908203125
Batch 104: loss = 0.24946698546409607, acc = 0.9169921875
Batch 105: loss = 0.2253749668598175, acc = 0.921875
Batch 106: loss = 0.2365633249282837, acc = 0.9150390625
Batch 107: loss = 0.2224227488040924, acc = 0.923828125
Batch 108: loss = 0.2479739487171173, acc = 0.9072265625
Batch 109: loss = 0.21664837002754211, acc = 0.9189453125
Batch 110: loss = 0.2142276167869568, acc = 0.9365234375
Batch 111: loss = 0.24249811470508575, acc = 0.9189453125
Batch 112: loss = 0.24773210287094116, acc = 0.9140625
Batch 113: loss = 0.22366341948509216, acc = 0.9326171875
Batch 114: loss = 0.239486426115036, acc = 0.92578125
Batch 115: loss = 0.24412374198436737, acc = 0.919921875
Batch 116: loss = 0.27997785806655884, acc = 0.91015625
Batch 117: loss = 0.25786182284355164, acc = 0.9130859375
Batch 118: loss = 0.20698219537734985, acc = 0.9375
Batch 119: loss = 0.219462051987648, acc = 0.9228515625
Batch 120: loss = 0.203957200050354, acc = 0.9365234375
Batch 121: loss = 0.20603254437446594, acc = 0.9228515625
Batch 122: loss = 0.2335299253463745, acc = 0.919921875
Batch 123: loss = 0.24137088656425476, acc = 0.912109375
Batch 124: loss = 0.26165705919265747, acc = 0.9052734375
Batch 125: loss = 0.2799491882324219, acc = 0.9013671875
Batch 126: loss = 0.242218017578125, acc = 0.916015625

Epoch 100/100
Batch 1: loss = 0.2972376346588135, acc = 0.9130859375
Batch 2: loss = 0.25218579173088074, acc = 0.91015625
Batch 3: loss = 0.2533529996871948, acc = 0.91796875
Batch 4: loss = 0.20217901468276978, acc = 0.9326171875
Batch 5: loss = 0.265557199716568, acc = 0.904296875
Batch 6: loss = 0.22494515776634216, acc = 0.9228515625
Batch 7: loss = 0.2169492095708847, acc = 0.935546875
Batch 8: loss = 0.2627703547477722, acc = 0.9111328125
Batch 9: loss = 0.22236210107803345, acc = 0.9287109375
Batch 10: loss = 0.21888428926467896, acc = 0.9296875
Batch 11: loss = 0.22909745573997498, acc = 0.92578125
Batch 12: loss = 0.21596907079219818, acc = 0.9287109375
Batch 13: loss = 0.21204695105552673, acc = 0.9375
Batch 14: loss = 0.25964805483818054, acc = 0.9267578125
Batch 15: loss = 0.22871342301368713, acc = 0.923828125
Batch 16: loss = 0.2244272232055664, acc = 0.9248046875
Batch 17: loss = 0.22610969841480255, acc = 0.92578125
Batch 18: loss = 0.26261210441589355, acc = 0.91015625
Batch 19: loss = 0.2228676974773407, acc = 0.9326171875
Batch 20: loss = 0.20956775546073914, acc = 0.9287109375
Batch 21: loss = 0.2674814760684967, acc = 0.9140625
Batch 22: loss = 0.24643158912658691, acc = 0.9169921875
Batch 23: loss = 0.275876522064209, acc = 0.900390625
Batch 24: loss = 0.24458739161491394, acc = 0.9189453125
Batch 25: loss = 0.23321989178657532, acc = 0.9248046875
Batch 26: loss = 0.21899589896202087, acc = 0.92578125
Batch 27: loss = 0.24389530718326569, acc = 0.9208984375
Batch 28: loss = 0.2247159481048584, acc = 0.9287109375
Batch 29: loss = 0.24704527854919434, acc = 0.9248046875
Batch 30: loss = 0.22479909658432007, acc = 0.923828125
Batch 31: loss = 0.2049298882484436, acc = 0.9296875
Batch 32: loss = 0.26197439432144165, acc = 0.8974609375
Batch 33: loss = 0.24507780373096466, acc = 0.91796875
Batch 34: loss = 0.25272637605667114, acc = 0.921875
Batch 35: loss = 0.26402512192726135, acc = 0.916015625
Batch 36: loss = 0.25143882632255554, acc = 0.9091796875
Batch 37: loss = 0.21723636984825134, acc = 0.9228515625
Batch 38: loss = 0.233149915933609, acc = 0.9287109375
Batch 39: loss = 0.23801679909229279, acc = 0.919921875
Batch 40: loss = 0.23955263197422028, acc = 0.919921875
Batch 41: loss = 0.232350692152977, acc = 0.9140625
Batch 42: loss = 0.2595716118812561, acc = 0.9052734375
Batch 43: loss = 0.24066580832004547, acc = 0.9208984375
Batch 44: loss = 0.23583059012889862, acc = 0.919921875
Batch 45: loss = 0.2523122727870941, acc = 0.9130859375
Batch 46: loss = 0.18654131889343262, acc = 0.9443359375
Batch 47: loss = 0.24482057988643646, acc = 0.91796875
Batch 48: loss = 0.22803828120231628, acc = 0.9228515625
Batch 49: loss = 0.20587903261184692, acc = 0.9296875
Batch 50: loss = 0.24080365896224976, acc = 0.91796875
Batch 51: loss = 0.21185335516929626, acc = 0.9248046875
Batch 52: loss = 0.2312949001789093, acc = 0.9267578125
Batch 53: loss = 0.2316088229417801, acc = 0.9228515625
Batch 54: loss = 0.19826564192771912, acc = 0.919921875
Batch 55: loss = 0.20334529876708984, acc = 0.9306640625
Batch 56: loss = 0.2309122383594513, acc = 0.9228515625
Batch 57: loss = 0.2639322578907013, acc = 0.9189453125
Batch 58: loss = 0.2935037612915039, acc = 0.8984375
Batch 59: loss = 0.21286262571811676, acc = 0.927734375
Batch 60: loss = 0.22814279794692993, acc = 0.9248046875
Batch 61: loss = 0.22341209650039673, acc = 0.927734375
Batch 62: loss = 0.26591843366622925, acc = 0.9130859375
Batch 63: loss = 0.20605432987213135, acc = 0.935546875
Batch 64: loss = 0.2190805822610855, acc = 0.931640625
Batch 65: loss = 0.23358899354934692, acc = 0.91796875
Batch 66: loss = 0.2200414538383484, acc = 0.927734375
Batch 67: loss = 0.21966040134429932, acc = 0.921875
Batch 68: loss = 0.22809280455112457, acc = 0.923828125
Batch 69: loss = 0.21507547795772552, acc = 0.9248046875
Batch 70: loss = 0.2454003244638443, acc = 0.9111328125
Batch 71: loss = 0.2307213395833969, acc = 0.9169921875
Batch 72: loss = 0.2275184690952301, acc = 0.919921875
Batch 73: loss = 0.2338140308856964, acc = 0.9208984375
Batch 74: loss = 0.285457968711853, acc = 0.9033203125
Batch 75: loss = 0.256367027759552, acc = 0.9130859375
Batch 76: loss = 0.2581147849559784, acc = 0.908203125
Batch 77: loss = 0.2276790738105774, acc = 0.9306640625
Batch 78: loss = 0.2398839145898819, acc = 0.9208984375
Batch 79: loss = 0.23019196093082428, acc = 0.9140625
Batch 80: loss = 0.2697279155254364, acc = 0.908203125
Batch 81: loss = 0.23946349322795868, acc = 0.912109375
Batch 82: loss = 0.24528047442436218, acc = 0.916015625
Batch 83: loss = 0.2049323171377182, acc = 0.9267578125
Batch 84: loss = 0.2536690831184387, acc = 0.9130859375
Batch 85: loss = 0.19680443406105042, acc = 0.939453125
Batch 86: loss = 0.2555447816848755, acc = 0.9111328125
Batch 87: loss = 0.2486906200647354, acc = 0.916015625
Batch 88: loss = 0.30309614539146423, acc = 0.9013671875
Batch 89: loss = 0.2569613754749298, acc = 0.9150390625
Batch 90: loss = 0.2608800530433655, acc = 0.90234375
Batch 91: loss = 0.23149554431438446, acc = 0.9208984375
Batch 92: loss = 0.24810215830802917, acc = 0.91796875
Batch 93: loss = 0.24998505413532257, acc = 0.9111328125
Batch 94: loss = 0.20054519176483154, acc = 0.939453125
Batch 95: loss = 0.21829432249069214, acc = 0.93359375
Batch 96: loss = 0.2129647135734558, acc = 0.931640625
Batch 97: loss = 0.24594992399215698, acc = 0.9228515625
Batch 98: loss = 0.2650972306728363, acc = 0.9111328125
Batch 99: loss = 0.2593734860420227, acc = 0.9130859375
Batch 100: loss = 0.22502011060714722, acc = 0.92578125
Batch 101: loss = 0.2516087293624878, acc = 0.9130859375
Batch 102: loss = 0.2560506761074066, acc = 0.9150390625
Batch 103: loss = 0.25656795501708984, acc = 0.912109375
Batch 104: loss = 0.22509042918682098, acc = 0.923828125
Batch 105: loss = 0.2113266885280609, acc = 0.9296875
Batch 106: loss = 0.20023754239082336, acc = 0.935546875
Batch 107: loss = 0.24238546192646027, acc = 0.9248046875
Batch 108: loss = 0.23968887329101562, acc = 0.9189453125
Batch 109: loss = 0.20383116602897644, acc = 0.9208984375
Batch 110: loss = 0.21262848377227783, acc = 0.92578125
Batch 111: loss = 0.23940011858940125, acc = 0.91796875
Batch 112: loss = 0.2330385446548462, acc = 0.9296875
Batch 113: loss = 0.21960285305976868, acc = 0.923828125
Batch 114: loss = 0.2615790367126465, acc = 0.9091796875
Batch 115: loss = 0.29349398612976074, acc = 0.91015625
Batch 116: loss = 0.2704275846481323, acc = 0.8955078125
Batch 117: loss = 0.2838878631591797, acc = 0.8955078125
Batch 118: loss = 0.25756824016571045, acc = 0.9091796875
Batch 119: loss = 0.22844815254211426, acc = 0.921875
Batch 120: loss = 0.207961305975914, acc = 0.931640625
Batch 121: loss = 0.22508028149604797, acc = 0.9169921875
Batch 122: loss = 0.2648293972015381, acc = 0.9130859375
Batch 123: loss = 0.2735779583454132, acc = 0.9072265625
Batch 124: loss = 0.24428971111774445, acc = 0.90625
Batch 125: loss = 0.21530981361865997, acc = 0.9326171875
Batch 126: loss = 0.2766647934913635, acc = 0.916015625
Saved checkpoint to weights.100.h5